IJAITE- International Journal of Advanced Innovative Technology in Engineering

e-ISSN: 2455-6491 | Published by Global Advanced Research Publication House (GARPH)

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Archives of International Journal of Advanced Innovative Technology in Engineering(IJAITE)

Volume 10 Issue 2 March 2025

1. IOT-Based Smart MCB Control with Real-time Temperature Monitoring

AUTHOR NAME : Prof. Wasiq Raza, Prof. Imran Khan, Tanvi Badhaye, Aniket Deodhe, Ashwini Rai, Sanket Zade, Abhay Singh Solanki

ABSTRACT : This study explores the development of an IoT-enabled home automation system that integrates a smart circuit breaker (MCB) and an adaptive temperature-based fan control mechanism. The proposed system enhances electrical safety by allowing users to operate the MCB both manually and automatically, ensuring greater control over power distribution. Additionally, the system optimizes energy consumption and enhances occupant comfort by dynamically adjusting fan speed in response to real-time temperature fluctuations. When the ambient temperature rises beyond a predefined threshold, the system increases the fan speed, while a temperature drops results in a proportional reduction in speed. Smart sensors continuously monitor temperature and power loads, transmitting data to a microcontroller for real-time processing and automated decision-making. Cloud connectivity further facilitates remote access and control via a user-friendly mobile application. This research underscores the potential of IoT in modernizing household electrical systems, fostering intelligent energy management, improved safety, and seamless automation for enhanced user convenience.

2. Automatic College Bell System Using Arduino

AUTHOR NAME : Mahesh N. Raut, Sneha M. Hargode, Shweta P. Rewatkar, Anjali B. Chinchulkar, Sanjana S. Rana, Jawwad A. Shaikh, Om V. Ghude

ABSTRACT : The main objective of this paper is to implement an Automatic college bell system using an Ardiuno. In this ardiuno based college bell circuit. The main objective of this project is to implement an automatic college bell system using. We used three major components which are IC RTCDS1307, Ardiuno, Uno board, and 16 by 2 LCD modules. Here ardiuno is used for reading time from DS1307 and display it on 16 by 2 LCD DS1307 sends time/date using 2 lines to ardiuno. A buzzer is also used for alarm indication, which beeps when alarm is activated, simultaneously voice module will read out the data displayed on the LCD module. Here the code is designed in a way so the bell will be activated for every 50 minutes as per the college schedule, the bell will be ringing for 50 seconds from the instant it is activated and simultaneously LCD screen will display the completion of a particular session, which indicates the students and faculty about the completion of a particular session and simultaneously the voice module will also read out the data which is being displayed on the LCD screen.

3. Study on Next Generation of Electric Vehicles

AUTHOR NAME : Anup A. Jagshettiwar, Ashish P. Ogale, Bhagyashree Sarode, Anshul G. Lode, Sanket S. Raut

ABSTRACT : The future of electric vehicles (EVs)promises a transformative shift towards sustainable and efficient transportation. With ongoing advancements in battery technology, charging infrastructure, and manufacturing processes, EVs are poised to become increasingly accessible and affordable. This evolution not only addresses environmental concerns by reducing carbon emissions but also stimulates innovation in the automotive industry. The integration of smart technologies, such as autonomous driving and interconnected systems, further amplifies the potential for a seamless and eco-friendly transportation future. As the global commitment to de- carbonization intensifies, the trajectory of electric vehicles signifies a cleaner, greener, and more intelligent future for mobility.

4. Innovative Smart Cooler: A Step Towards a Sustainable Future

AUTHOR NAME : Prof. Anuprita Linge, Prof. Sonal Timande, Akshay Pande, Anjali Motherao, Sakshi Dhurve, Pratiksha Bhoyar, Akanksha Dongare

ABSTRACT : In todays world, automation is essential for energy efficiency and convenience. This paper presents an IoT-based Smart Cooler designed for local conditions, which can be operated via the Internet of Things (IoT) and Google Assistant. The cooler can be switched on/off remotely through a mobile app or voice commands, making it user-friendly. This smart system includes temperature and humidity sensors to adjust cooling based on environmental conditions, ensuring comfort while saving electricity. The Wi-Fi-enabled controller allows real-time monitoring and control from anywhere. Additionally, integration with Google Assistant provides voice operated control, making it easy for users to manage cooling settings hands-free. This innovative smart cooler is beneficial for homes, offices, and small businesses, especially in hot regions of anywhere. It improves convenience, energy efficiency, and user comfort, making it a step towards a smarter and sustainable future.

5. Sustainable Construction of Paver Blocks Made from Recycled Plastic

AUTHOR NAME : Sakshi P. Masram, Ishwar R. Rathod, Samarth J. Shukla, Kunal P. Ukarde, Gaurav R. Rawale

ABSTRACT : With an annual production of over 9.3 million tons of plastic waste, India is the worlds biggest plastic polluter. The production of cement, which produce the CO2 emissions, is another issue. Therefore, recycling plastic waste instead of cementitious materials could be a more effective way to reduce waste and remove cement. Thus, in this article, plastic waste is recycled and used to make paver blocks, a sustainable building material that eliminates the need for cement. The study looks at adding different amounts of plastic waste, more especially, PET and HDPE to blocks of sand pavers. While decreasing water absorption capacity, using plastic waste in the construction of paver blocks might improve the blocks mechanical qualities and reduce environmental pollution. The findings indicate that used of 30% composition to develop plastic waste sand paver blocks. This paver blocks use in light weight applications like parks, footpaths, patios. These blocks have low water absorption compared to traditional concrete paver blocks, which makes these blocks impermeable.

6. Experimental Investigation on Concrete Cube Using Glass Beads Material

AUTHOR NAME : Sakshi A. Zambre, Poonam N. Lende, Sarthak S. Nande, Ankita V. Kalkekar, Pooja V. Bhalkar

ABSTRACT : Glass is a special substance that is commonly utilized for many different purposes and comes in a wide range of colours and shapes. A significant amount of glass garbage is composed of coloured bottles. Glass garbage may be less harmful to the environment if it is recycled. Some indecomposable wastes, however, are buried. The ecosystem will suffer as a result of this. Using coloured glass as a replacement material in other industries, including the concrete industry, is a practical way to reduce the amount of non-recyclable trash. The impact of substituting discarded glass particles for aggregate on the weight and compressive strength of concrete is examined in this study. 36 cubic examples were cast in order to accomplish the goal; the specimens were composed of grade M30 concrete mix, with leftover glass bead fragments mixed in with the remaining specimens. To prevent the Alkali Silica Reaction (ASR), Alccofine 1203 was added to the mixture of glass bead specimens. Overall, the findings demonstrated that the concretes compressive strength was enhanced by substituting glass bead particles for fine aggregate by more than 20%. In each case, the weight of the concrete is almost the same. In summary, the findings suggest that 20% is the ideal percentage for substituting glass particles for aggregate.

7. Nagpur Metro-Rail Constructional Impact on Environment

AUTHOR NAME : Shrikant R. Nagoshe, Aman A. Khobragade, Dnyaneshwari R. Thakare, Rahil Chaus R. Chaus, Kalpana L. Ughade, Komal K. Chungade

ABSTRACT : Nagpur Metro Rail, an ambitious urban transport project, aims to provide a sustainable and efficient public transportation system for the growing city. The construction of the metro rail has had significant environmental implications, both positive and negative. On the positive side, it is expected to reduce vehicular emissions, ease traffic congestion, and promote eco-friendly transportation. However, the construction phase has led to deforestation, land-use changes, and temporary air and noise pollution. This paper assesses the environmental impact of the Nagpur Metro Rail construction, analyzing factors such as carbon footprint, land acquisition, biodiversity loss, and mitigation measures taken to minimize ecological disruption. Additionally, it explores the long-term benefits of the metro system in fostering sustainable urban development. The study highlights the importance of eco-sensitive planning in large-scale infrastructure projects to balance urban growth with environmental conservation.

8. Sustainable Road Construction: Utilizing Waste Tyre in Bituminous Pavements for Enhanced Performance and Durability

AUTHOR NAME : Shweta N. Rokade, Saurabh Kurhade, Suraj Gomase, Mahendra Gaddamwar, Mohd Shoeb

ABSTRACT : India is a rapid urbanizing country. Due to overall development new roads are being constructed forever increasing population. Density of vehicular traffic increases day by day. The wear and tear of tires from these vehicles is undoubted. So, a large number of scrap tires are being generated. A large number of waste and worn-out tires are 15-20% each year. These tires are discarded indiscriminately or stockpiled. The used tires pose a great threat to human health and environment, since they are non-biodegradable; the waste tire rubber has become a problem of disposal. This paper is intended to study the feasibility of the waste tire rubber as a blending material in bitumen, which is used for road construction. The Waste tire rubber appears to possess the potential to be partially added in bitumen, providing a recycling opportunity. If Waste or used tire rubber can be added in bitumen for improving the properties, and disposing off the tires, thus the environmental gains can be achieved.

9. Smart Cities - Adaptive Parametric Design Strategies for Sustainable Urban Development

AUTHOR NAME : Tushar W. Parate, Bhushan Ghume, Raj Kakde, Rutuja Bakre, Rushab Dixit

ABSTRACT : In light of the global impact of the COVID-19 outbreak, which has already subsided. The recent earthquake in Turkey and Iran revealed that the tents provided inadequate protection against aftershocks and inclement weather conditions such as wind, rain and snow. Consequently, there is a need to explore alternative shelter options, such as prefabricated structures like geodesic domes, which offer numerous advantages, and serves as an alternative to traditional shelters. These advantages include quicker assembly, better use of resources. The optimal design of geodesic domes as prefabricated shelter structures is investigated in this work, with a particular emphasis on horizontal loads like wind. The results can be applied and generalized to seismic activity. Moreover, there has been a noticeable shift in the fields of architecture and design in recent years toward the usage of new and efficient design techniques. The use of Grasshopper, a visual programming plug-in built for Rhino, facilitates the use of metric modelling, which has received a lot of attention. dome constructions and structural optimization. The goal of this thesis is to look into Grasshoppers capabilities for creating, analyzing, and optimizing Geodesic dome structures. .

10. Uses of Artificial Intelligence in Civil Engineering

AUTHOR NAME : Srushti Chute, Priyanka Soni, Megha Salve

ABSTRACT : Artificial Intelligence (AI), a branch of computer science, focuses on the development and application of intelligent systems. Solving complex problems typically demands substantial computational power, but AI-driven technologies offer a more efficient alternative. This paper explores recent advancements in AI concepts and methodologies within civil engineering, highlighting the fields rapid progress. With significant developments in big data, deep learning, and machine learning, AI has been effectively integrated into various domains of civil engineering. Key areas of AI research in the field include structural analysis, maintenance, and design optimization. The implementation of AI enhances data collection, sustainability assessment, and productivity, offering substantial benefits to civil engineers. The digital transformation of the construction industry has led to a growing emphasis on sustainability. Traditionally, computing in civil engineering has been centred around numerical and algorithmic calculations. However, addressing real-world, unstructured, and empirical challenges requires the use of expert systems and AI-based solutions.

11. Artificial Intelligence in Mechanical Systems: A Neural Network Perspective

AUTHOR NAME : Yogesh Ashok Paliwal, Nikhil Mohanrao Ekotkhane, Pravin A. Sapane, Nupul Narayan Shirbhate

ABSTRACT : Artificial intelligence (AI) has revolutionized various fields, including mechanical engineering. Integrating AI in mechanical systems has given rise to intelligent machines that can learn, adapt, and make decisions autonomously. This paper provides an in-depth examination of the application of artificial neural networks (ANNs) in mechanical systems, highlighting their potential benefits and challenges. We also discuss the current state of research in this field and provide examples of successful implementations. The paper explores the intersection of AI and mechanical engineering, examining the potential of ANNs to drive innovation and improvement in mechanical systems. With the increasing demand for efficient and productive mechanical systems, ANNs have become a crucial tool for mechanical engineers. This paper aims to provide a comprehensive overview of the application of ANNs in mechanical systems, highlighting their potential benefits and challenges, and exploring the current state of research in this field.

12. Lifecycle Analysis of Wind Turbines: Environmental Footprint and Sustainability

AUTHOR NAME : Dr. Ravindra W. Parankar, Pravin A. Sapane

ABSTRACT : This paper presents a comprehensive lifecycle analysis of wind turbines, examining their environmental footprint and sustainability. The analysis covers the entire lifecycle of wind turbines, from manufacturing to decommissioning, and assesses the carbon emissions, material use, recycling potential, and overall environmental benefits. By understanding the environmental impacts at each stage of the lifecycle, we can identify opportunities for improvements and develop strategies to enhance the sustainability of wind energy. The study also includes case studies of existing wind farms to provide real-world insights and practical examples of how wind energy can contribute to a sustainable future. This analysis highlights the importance of wind energy in reducing greenhouse gas emissions and combating climate change, while also addressing the challenges and opportunities for further advancements in the field. The findings of this study can inform policymakers, industry stakeholders, and researchers, paving the way for more sustainable and environmentally-friendly wind energy solutions.

13. Revolutionizing Technical Education: Unleashing the Potential of AI-Powered Virtual Labs for Skill Enhancement

AUTHOR NAME : Swati Padmakar Akhare, Amol S. Nakhale, Manisha B. Bannagare, Ankita V. Dive

ABSTRACT : This paper presents a comprehensive lifecycle analysis of wind turbines, examining their environmental footprint and sustainability. The analysis covers the entire lifecycle of wind turbines, from manufacturing to decommissioning, and assesses the carbon emissions, material use, recycling potential, and overall environmental benefits. By understanding the environmental impacts at each stage of the lifecycle, we can identify opportunities for improvements and develop strategies to enhance the sustainability of wind energy. The study also includes case studies of existing wind farms to provide real-world insights and practical examples of how wind energy can contribute to a sustainable future. This analysis highlights the importance of wind energy in reducing greenhouse gas emissions and combating climate change, while also addressing the challenges and opportunities for further advancements in the field. The findings of this study can inform policymakers, industry stakeholders, and researchers, paving the way for more sustainable and environmentally-friendly wind energy solutions.

14. IoT Based Health Monitoring System

AUTHOR NAME : Mahesh N. Raut, Sneha M. Hargode, Umesh S. Bhomale, Pooja N. Chaturkar, Krushna G. Pohane, Awasthi M. Gayakwad

ABSTRACT : In recent times, there has been a lot of diseases arising day by day as a result of which people have become much concerned about their health. Thus, it has become quite important to monitor the health. To address this, a real time health monitoring system has been proposed based on IoT. It has various sensors such as pulse oxi-meter, ECG, Temperature sensor. This device also has GSM module and it can send messages in case of emergency. This mobile health monitoring system can be used to check patient’s health and the data can be stored on IOT cloud which can be fetched as and when required. This simple device monitors patient’s health where big medical equipment’s cannot reach such as in rural areas and in this situation, this device serves as a boon. It is a compact device that can provide real time online information about patient’s health conditions. The device stores the information about various health parameters which can be monitored by family members and doctor so that immediate action can be taken in case of an emergency.

15. Camera Based, line following & RC Control Car

AUTHOR NAME : Mahesh N. Raut, Sneha M. Hargode, Umesh S. Bhomale, Pooja N. Chaturkar, Krushna G. Pohane, Awasthi M. Gayakwad

ABSTRACT : This paper presents a camera-based line follower and RC control car, integrating computer vision and remote control functionalities. The system uses a camera to capture real-time video, which is processed by an on-board computing unit to detect and follow a predefined path, typically a black or white line on a contrasting surface. Image processing techniques, such as edge detection and color thresholding, are implemented to determine the cars movement. Additionally, the car can be manually controlled via a remote control interface, allowing the user to override autonomous navigation when necessary. The system employs a microcontroller or a single-board computer Raspberry Pi to process image data and control the motor drivers accordingly .In the event of a car accident or vandalism, dashboard cameras can provide video proof. A CCTV is typically installed for surveillance in areas that require monitoring, such as banks and hospitals or areas where security is required. Therefore, its coverage is limited.

16. Hostel Management System

AUTHOR NAME : Prof. C. D. Sawarkar, Hiralal Rathod, Tushar Dhale, Krishna Rathod, Sanjot Gonde, Shubham Jadhao

ABSTRACT : PHP & MySQL Powered Web Based Hostel Management System with mess allocation for efficiency and automation of hostel operations, in this hostel management system also we are using PHP & MySQL. It functions as a very efficient system for handling hostel related work, like student registration, room allocation and mess allocation. It greatly increases the effectiveness of the administration, as it all based on manual and saves record-keeping efficiently. User Authentication, Real time room availability tracking, Mess allocation and automated billing are some of the key features. Easy access and report generation of student details, Mess Preferences for Hostel Admins Guest can quickly view their room details mess allocation and payment status. Not to mention the system that secured data integrity, accessibility and designed an efficient access point (centralized database) for collated analytics. Developing using PHP for dynamic content & MySQL for the heavy lifting, this paper strives to provide a comprehensive hostel management solution that is more accurate and requires less paperwork/digitalizes the entire system by ensuring easier day to day operations.

17. To Improve User and Architecture Part of Competitive Programming Website using Docker

AUTHOR NAME : Shreyas Sable, Saujanya Deshmukh, Parag Lakade, Sachi Katkar, Priti Mujbaile, Shiwani Mahure, Dr. S. W. Mohod

ABSTRACT : With advancements in Web Technologies, a huge number of activities have transitioned from the local environment to the cloud environment. Cloud environment offers an easy-to-use solution to the user that does not require any setup, infrastructure and maintenance. One example of such a transition is Remote Code Execution (RCE). Prior to this, every system was required to have various language compilers/interpreters installed with their tooling. Remote code execution has allowed users to directly run code on cloud environments and obtain results. This saves them the effort, disk space and compute power. Widely used examples of such are Online Compilers. Although these cloud environments have provided convenience, they are often vulnerable to malicious code. Such code can often cause harm such as fork bombs, DDoS attacks, data theft and destruction to the server hosting the cloud environment. Implementing safeguards against such attacks are cumbersome, maintained manually and work only for well-known and predicted attacks. We propose a system where remote code execution occurs inside a sandbox environment. A sandbox environment is a safe file system where the user can perform actions without affecting the host system. Once the attack is done, the affected sandbox is replaced with a new healthy sandbox.

18. Intelligent AI Chatbot For College Campuses: A Machine Learning-Based Approach

AUTHOR NAME : Prof. C. D. Sawarkar, Vedant Vaidya, Abhinav Shilankar, Aniket Rajurkar, Sagar Kirtakar, Nayan Wandhare

ABSTRACT : The integration of intelligent AI chatbots in educational environments, particularly on college campuses, has emerged as a transformative approach to enhancing student engagement, administrative efficiency, and personalized learning experiences. This paper presents a machine learning-based framework for developing an intelligent AI chatbot tailored to the unique needs of a college campus. The proposed chatbot leverages natural language processing (NLP) and deep learning techniques to understand and respond to student queries, provide real-time assistance, and facilitate access to campus resources. By utilizing supervised and reinforcement learning models, the chatbot is trained on a diverse dataset of campus-related interactions, enabling it to handle a wide range of tasks, including course registration, event notifications, academic support, and FAQ resolution. The system is designed to be scalable, user-friendly, and adaptable to the evolving needs of students and faculty. Experimental results demonstrate the chatbots ability to accurately interpret user intent, deliver context-aware responses, and improve overall campus communication.

19. Fingerprint Voting System for Departmental Elections

AUTHOR NAME : Prof. Disha Deotale, Ayush Punvatkar, Abhijit Wankhede, Yogesh Bhoyar, Balaji Jadhav, Aishwarya Dangri

ABSTRACT : Intended to enhance security, accuracy, and openness, a fingerprint voting system for departmental elections is an electronic voting system based on biometrics. Using fingerprint verification to validate voters identities, this method lowers the risk of unauthorised access, identity theft, and several votes. Validly kept in a database are fingerprints of voters amassed throughout registration. Before being permitted to vote on election day, voters confirm their identity by means of a fingerprint scanner. The system ensures that every voter is allowed to vote just once, hence discouraging election fraud. Digital recording of votes ensures data integrity and enables fast and accurate counting. Encryption methods preserve voter information and defend against online dangers. This mechanism lowers reliance on physical ballot papers, therefore is both cost-effective and environmentally friendly. Real-time vote counting also streamlines the election process and lessens the human involvement required. By guaranteeing equity, safety, and user-friendliness, a fingerprint-based voting system enhances the credibility and efficiency of departmental polls. It also helps to assure that the system is independent.

20. Yoga Trainer Using Artificial Intelligence and Deep Learning

AUTHOR NAME : Anushree Ghate, Bhavana Chambhare, Gayatri Pahune, Abhishek Niwalkar, Chetan Dhale, Deep Mankar

ABSTRACT : Artificial Intelligence (AI) and deep learning have revolutionized human pose estimation and posture correction systems. This research introduces an AI-based Yoga Trainer system that leverages deep learning models to recognize and evaluate yoga postures while providing real-time feedback and corrections. The system employs Media-Pipe Pose for real-time human pose detection and extraction of body landmarks, focusing on key points such as the head, shoulders, elbows, hips, and knees. These extracted landmarks are processed using a Support Vector Classifier (SVC), implemented with scikit-learns Support Vector Machine (SVM), to classify yoga poses accurately. Predictive modeling is applied using the predict prob function to determine pose probabilities, enhancing classification precision. OpenCV facilitates video capture, frame processing, and visualization of annotated images, ensuring seamless real-time interaction. Additionally, NumPy is used for efficient array manipulation in landmark processing. Once a pose is classified, the system compares the users posture with the correct form for each asana. If misalignment is detected, it provides real-time guidance to help users correct their poses. This feature is particularly beneficial for home practitioners who may not have access to a yoga instructor. Future improvements may include enhancing the system’s ability to recognize dynamic yoga sequences and optimizing real-time processing for mobile and wearable devices.

21. Machine Learning Techniques in Scrap Management System

AUTHOR NAME : Prof. S. P. Veer, Harshal Linge, Aditya Zade, Parikshit Urkande, Mrunali Nimbulkar, Nutan Sayankar, Payal Khedekar

ABSTRACT : The application of machine learning methods on scrap management systems is discussed in this literature review. ML methods have been used in recycling process optimisation, predictive maintenance, and sorting scrap. This research looks at several machines learning methodologies, including computer vision, clustering, and classification. It also discusses practical applications and challenges in implementing machine learning in this domain. The results prove that machine learning is able to enhance sorting accuracy, reduce operational costs, and enable more eco-friendly recycling practices. Waste materials have dramatically risen due to the rapid growth of urbanization and industrial processes, making it harder to control, dispose of, and recycle them efficiently. Traditional scrap management methods often lack user convenience, effectiveness, and transparency. In scrap management, this literature review discusses several existing systems and technology advancements.

22. Blog Flow Management System

AUTHOR NAME : Prof. V. V. Jikar, Prof. C. Sawarkar, Mr. Manish. V. Salpekar

ABSTRACT : The "Blog Flow Management System" has been developed to override the problems prevailing in the practicing manual system. This software is supported to eliminate and in some cases reduce the hardships faced by this existing system. Moreover this system is designed for the particular need of the company to carry out operations in a smooth and effective manner. The application is reduced as much as possible to avoid errors while entering the data. It also provides error message while entering invalid data. No formal knowledge is needed for the user to use this system. Thus by this all it proves it is user-friendly. Blog Flow Management System, as described above, can lead to error free, secure, reliable and fast management system. It can assist the user to concentrate on their other activities rather to concentrate on the record keeping. Thus it will help organization in better utilization of resources. Every organization, whether big or small, has challenges to overcome and managing the information of Idea, Blogs, Entries, Content, and Views. In this paper, used JavaScript, Html, Css and cloud mongo db database. We this two modules i.e. client (user) and Server.

23. Text-to-Image Generation Using Deep Learning

AUTHOR NAME : Prasad Timande, Sahil Dhawale, Shreyas Waghmare, Sanket Dhumane, Rushikesh Pimple, Kshitij Madpuwar, Dr. S. W. Mohod

ABSTRACT : The Text-to-Image generation tasks has stand out as an innovation in the field of computer vision (CV). Recent innovations and advancements in generative models have led to the development of various text-to-image generation techniques. This paper presents a comprehensive implementation of a text to image generation system leveraging Stable Diffusion, a diffusion based generative model that can produce high-quality images with fine-grained details. The system is integrated with a Flask-based web application, providing users with a user-friendly interface to generate images from textual prompts. The project is designed to operate efficiently on CPUs, making it accessible in resource constrained environments. This implementation serves as a bridge for individuals and organizations seeking to harness generative AI technologies without the need of expensive hardware setups like high-end devices and GPUs. Its accessibility and simplicity make it more suitable for small-scale creative needs and inspire innovation.

24. RFID Base Attendance System with UUID Verification

AUTHOR NAME : Ashmita R. Ghongade, Kunal Waitage, Ashwini Parate, Prajakta Chinchone, Komal Tiwade, Sakshi Dubey

ABSTRACT : Due to security vulnerabilities and a lack of geo-fencing, traditional RFID-based attendance systems might be troublesome in certain circumstances. This research proposes an enhanced RFID-Based Attendance System with UUID Verification that enhances automation and security by integrating geo-fencing with Bluetooth Low Energy (BLE) UUID authentication. Using an ESP32 microcontroller, the gadget scans RFID cards. For further authentication, it connects to a mobile app via Bluetooth Low Energy (BLE). Every student receives a unique UUID that is entered into the database in addition to the RFID card scan. Because of geo-fencing, attendance can only be tracked when a student is physically present inside a specified area. This hybrid approach provides a secure, cost-effective, and power-efficient solution for tracking attendance in workplaces and educational institutions while lowering the risk of RFID cloning.

25. Drive Resume: Customized Web Application for Attractive CV Creation Using AI

AUTHOR NAME : Prof. V. V. Jikar, Mr. Rahul Bansod, Mr. Dipak Raosaheb, Mr. Lokeshwar Vairagade, Mr. Rupesh chopde, Mr. Vishal Goupale

ABSTRACT : This paper provides Job seekers need effective tools to create, manage, and distribute professional resumes in the current digital era. The Drive Resume Builder is an online tool that integrates with Google Drive to make resume creation and storage easier. Utilizing React.js for front-end development, Node.js with Express for back-end processing, Firebase for authentication, and Google Drive API for smooth document storage and retrieval, this project makes use of these technologies. With the help of the systems numerous editable resume templates, users can enter their information in a dynamic form, view changes instantly, and export their resumes in DOCX and PDF formats. One important feature is the integration with Google Drive, which makes it simple for users to store, retrieve, and manage resume versions. Furthermore, safe user access is guaranteed by Google OAuth authentication. The platform might have AI-powered features to improve usability.

26. AI & IoT Based Electronic Department System

AUTHOR NAME : Prof. Ashmita Ghongade, Purnima Uprade, Nandini Satghare, Madhavi Moon, Poonam Lengure, Karan Raut

27. Modern Real - Time Resume Analysis and Job Suggestion System Using NLP and Machine Learning Algorithm

AUTHOR NAME : Samruddhi Farsole, Sagar Darne, Kunal Barahate, Vaishnavi Bhute, Rhutik Khode, Minal Pazare, Prof. R. V. Chaudhari

ABSTRACT : This paper is about in todays highly competitive job market job seekers face significant challenges in optimizing their resumes to pass Applicant Tracking Systems (ATS) and align with job requirements. Many resumes are rejected due to missing keywords, improper formatting, or a lack of ATS-friendly structures, making it difficult for qualified candidates to secure interviews. To address this issue, we present an AI-powered resume analysis system that enhances job matching efficiency by leveraging natural language processing (NLP) and machine learning. This system extracts key skills, qualifications, and experience from job descriptions and compares them with resumes to identify gaps. By providing automated keyword suggestions, ATS optimization insights, and personalized resume recommendations, the model improves resume-job relevance and significantly increases the likelihood of passing ATS filters. The results demonstrate that integrating AI in the resume screening process enhances job application success rates, reduces manual effort for both job seekers and recruiters, and accelerates the hiring process.

28. Web Application of Digital Library Management System for College

AUTHOR NAME : Prof. V. V. Jikar, Harish S. Nilkhan, Sejal N. Mallelwar, Kaushik S. Bagde, Tejas M. Dukare, Yash D. Pandey

ABSTRACT : In the contemporary time, when everything is digital, the collection of large-size information is being managed with greater efficiency and with the help of technology. A digital library management system aims at organizing and storing and retrieving digital content like books, articles, journals, and multimedia in a user-friendly manner. Thus, users can avail themselves of and manage digital resources from anywhere, anytime, and without the restriction on physical storage. Search, classify, and view resources with just a click through the use of filters that include author, title, or topic. Online borrowing, downloading, and sharing are other invaluable features. Quick updates, data protection, and smooth integration lend the library system more efficiency and effectiveness for both users and administrators alike. The Digital Library Management System provides a digital way of managing resources in a way that increases access to information; it also organizes information and allows for ease of search and retrieval. It is by far the most essential and potent tool available to educational institutions, research centres and anyone interested in obtaining their information very fast, hence, enhancing the learning and working environment.

29. Document Verification System in Blockchain Technique by using Hash & Digital Signature Algorithm

AUTHOR NAME : Devendra Dandekar, Pranjali Dandekar, Rohanak Pawar, Nikhil Kamble, Sandip Patil

ABSTRACT : The use of blockchain technology is a game changer in improving the security and transparency of verifying documents and likewise in enhancing efficiency for such processes. The paper proposes a document-verification system using technology on the Polygon Blockchain: an environment-friendly Layer 2 solution on the Ethereum platform. The system is aimed at addressing issues such as document tampering, forgery, and inefficiencies in traditional verification methods by offering them in a secure and transparent environment. The validation process for several documents, such as academic certificates, legal contracts, and identity proofs, is assured to be cost-efficient in view of the low fees and fast processing time offered by Polygon. Also, the actual verification process is automated through smart contracts, which removes the need for an intermediary to establish trust. In addition, state-of-the-art cryptographic methods are integrated into the system to keep document hashes secure, thereby ensuring data integrity and confidentiality. It is this research that showcases how polygon blockchain technology can introduce a transformation in document verification, providing a secure and user-friendly solution for individuals and businesses alike

30. University Student Dispute Redressal System

AUTHOR NAME : Prof. D. B. Dandekar, Himani Nawale, Rutuja Vidhate, Kunja Bhat, Samiksha Lande, Tejaswini Chaudhari

ABSTRACT : University Student Dispute Redressal System is a web-based application developed to facilitate the efficient and transparent handling of student complaints within educational institutions. This system enables students to submit grievances related to various campus facilities such as the hostel, canteen, and library. Upon submission, grievances are first reviewed by the Head of the Department (HOD) for approval or rejection. Approved grievances are forwarded to the respective department for resolution, and once addressed, the principal performs a final verification before notifying the student of the resolution. The system aims to streamline the grievance redressal process, ensuring transparency, accountability, and prompt resolution of student concerns. The technology stack includes HTML, CSS, and the Tabler template for the frontend, Node.js for backend server operations, and MySQL for data storage. Role-based authentication ensures secure access for students, HODs, department heads, and the principal. This system enhances administrative efficiency, reduces processing time, and significantly improves student satisfaction by offering a clear and systematic approach to grievance handling.

31. Student Exam Seating Management Platform

AUTHOR NAME : Nikita Vairagad, Priya Chahuan, Rakhi Dhanfule, Nikita Shrungare, Dnyaneshwar Sadhal, Sachin Rathod

ABSTRACT : The paper entitled “Exam Centre Seating Arrangement” is used to integrate complete operation of exam hall management. Here the project is developed in Java Servlet as front end. The and Sql Server as back end. Exam hall arrangement for students during examination hall numbers while they are wits end. An innovation which could aid the students is finding their exam halls would be welcoming and very rewarding. This project presents a modernized method of examination hall management. It is possible for a student to identify the exam hall from anywhere. Examinations are conducted periodically in all educational institutions which are to be conducted systematically and properly. By automating the examination system, the coordinators of the examination can conduct the examination system, the examinations are conducted smoothly, error free and systematically. This system will shed the present issues, while also propelling a paperless area meanwhile.

32. Fabrication and Analysis of Power Generation from Waste Heat in Industries Using Thermoelectric Generator

AUTHOR NAME : Prof. Anshali S. Bhabutkar, Vedant P. Warade, Kedar D. Kadukar, Shubham P. Dhomane, Kunal K. Kumare

ABSTRACT : The increasingly worldwide problem regarding rapid economic development and a relative shortage of energy, the internal combustion engine exhaust waste heat and environmental pollution has been emphasized more heavily recently. Out of the total heat supplied to the engine in the form of fuel, approximately 30 to 40% is converted into useful mechanical work. The remaining heat is expelled to the environment through exhaust gases and engine cooling systems, resulting in an entropy rise and serious environmental pollution, so it is required to utilize waste heat into useful work. As waste heat recovery techniques, such as a thermoelectric generator (TEG), are developed, they have become a promising alternative green technology due to distinct benefits of thermoelectric generators.

33. n- Methylaniline Used as Power Booster Additives Used in Ethanol Gasoline Blends: A Review

AUTHOR NAME : Dr. C. B. Kothare, Prof.U.N. Galat, N. Wandhare, V. Bhajbhuje, D. Shinde, P. Wankhede, Prof A. A. Kanaskar

ABSTRACT : The growing demand for high-performance, fuel-efficient, and environmentally friendly internal combustion engines has led to research on fuel additives that enhance combustion efficiency and emissions control. n-Methylaniline (NMA)has gained attention as a potential octane booster in ethanol-gasoline blends, improving octane number, ignition timing, and knock resistance in spark-ignition engines. Studies show that NMA enhances combustion characteristics, thermal efficiency, and cold-start emissions, making it a promising option for sustainable fuel formulations. Additionally, it helps reduce NOx and CO2 emissions while maintaining fuel stability. However, concerns about its oxidation stability, toxicity, and long-term engine effects require further investigation. Comparisons with MTBE and ETBE highlight differences in degradation behavior and environmental impact, emphasizing the need for optimized formulations. Alternative ethanol and other additives blends have also shown potential in improving engine efficiency and reducing emissions. This review evaluates the feasibility of NMA as a superior octane enhancer, offering insights into its integration into modern fuel systems while balancing performance, durability, and sustainability.

34. A Comprehensive Review of Agricultural Seeds Drying Technologies: Trends, Challenges, and Future Directions

AUTHOR NAME : Sandip Jawre, Nilesh Thombare, Danish Qureshi, Nita Rathod, Julee Kumari, Prajwal Chichpane, Prof P. P. Tagade

ABSTRACT : Efficient drying of agricultural seeds is a critical post-harvest process that ensures seed viability, quality, and storage longevity. Various drying technologies, including conventional and advanced techniques, have been developed to optimize moisture removal while preserving seed properties. This review provides a comprehensive analysis of existing agricultural seed drying methods, including hot air drying, vacuum drying, microwave-assisted drying, and hybrid techniques. The study examines recent advancements in drying technologies, their impact on seed quality, energy efficiency, and drying kinetics. Additionally, the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) in drying systems is discussed, highlighting their potential in real-time monitoring and process optimization. The review identifies key challenges such as high energy consumption, uneven drying, and the need for technology adaptation in different agricultural settings. Future research directions emphasize the development of energy-efficient, intelligent drying systems tailored for specific seed types. This study aims to provide insights for researchers and industry stakeholders to enhance drying technology, ensuring sustainable and high-quality seed preservation.

35. A Review Study on Effect of Temperature and Humidity on Onion in Storage

AUTHOR NAME : Prof. D. R. Rangari, Dr. C. B. Kothare, Piyush K. Wadhai, Chetan N. Wadafale, Rishab Verma, Samiksha B. Pote, Prof P. P. Tagade

ABSTRACT : Onions are an important vegetable, but storing them properly is a challenge. Temperature and humidity play a big role in keeping onions fresh. High temperatures cause moisture loss, shrinkage, and sprouting, while very low temperatures can damage their texture. If humidity is too high, onions can develop mold and bacterial infections. If it is too low, they dry out and become lightweight. This review explores how temperature and humidity affect onion storage. It also discusses methods to improve storage, such as controlled atmosphere storage, special packaging, drying, and fumigation. Using the right storage techniques can help reduce spoilage and keep onions fresh for a longer time. New technologies like AI-based monitoring and radiation treatment are also being studied to improve onion storage. By understanding the best storage conditions, farmers and traders can reduce losses and maintain onion quality. This review highlights solutions to improve onion storage and prevent wastage in the supply chain.

36. AI and IoT based Home Automation System

AUTHOR NAME : Ashish S. Gawali, Rupali S. Kalokar, Monali M. Jawanjal, Tanushri S. Dharmik, Gaurav H. Bakade, Chinmayee S. Deotare, Sushmit S. Gaikwad

ABSTRACT : This paper aims to develop a smart home automation system that enables users to control electronic devices using hand gestures. By leveraging computer vision and deep learning techniques, a webcam captures hand gestures, which are processed using a Convolutional Neural Network (CNN) model for real-time classification. The recognized gestures are then transmitted to an ESP8266 microcontroller via Wi-Fi, triggering the corresponding on/off commands for connected IoT devices. This system enhances touchless interaction, offering an intuitive and accessible solution for smart home automation, particularly benefiting individuals with mobility impairments. The project integrates Open CV for image pre-processing, Tensor Flow/Keras for model training, and HTTP protocols for seamless communication between the Python application and the ESP8266.

37. The Role of Additives in Ethanol-Gasoline Blends: A Comprehensive Review on Efficiency and Emission Control in SI Engines

AUTHOR NAME : Prof. U. N. Galat, Dr C. B. Kothare, Akash Sor, Ataullah Ansari, Ayan Beg, Tushar Dongare, Vedant Dhande

ABSTRACT : This study investigates the impact of ethanol-gasoline blends on the performance and emissions of a spark ignition (SI) engine. Various ethanol concentrations (10%, 20%, 30%, and 40%) were mixed with gasoline using an ultrasonic bath to ensure optimal blending. Results indicated that increasing ethanol content improved power output, brake specific fuel consumption, and thermal efficiency, while also reducing harmful exhaust emissions. However, a decrease in volumetric efficiency was noted. Overall, the findings suggest that ethanol blends can enhance engine performance and reduce environmental impact, making them a viable alternative to traditional fuels. The physicochemical properties of iso-butanol additives in ethanol-gasoline blends and their impact on the performance and emission characteristics of a spark-ignition engine. The ethanol-gasoline blend, specifically at a 10% volume basis of ethanol (E10), is enhanced with varying proportions of iso-butanol additives (5%, 10%, and 15%), designated as E10B5, E10B10, and E10B15. The study aims to determine how these additives influence engine performance metrics, such as power output and efficiency, while also analysing exhaust emissions, including carbon monoxide (CO), carbon dioxide (CO2), hydrocarbons (HC), and nitrogen oxides (NOx). The findings indicate that the addition of iso-butanol improves both engine performance and reduces harmful emissions, highlighting the potential of these blended fuels as a viable alternative to conventional gasoline.

38. Floor Cleaning Robot Using Bluetooth

AUTHOR NAME : Mahesh N. Raut, Arya Y. Vaidya, Shruti S. Nandanwar, Vikram S. Bhagat, Jatin S. Manne, Monika D. Bhonde

ABSTRACT : Cleanbot is a smartphone-controlled floor cleaning robot designed to automate the cleaning process with minimal manual intervention. It features two cleaning modes Mopping and Wiping which enhance its versatility for various applications in the cleaning industry. The robot communicates via Bluetooth using an HC-05 module, which transmits commands to an Arduino NANO microcontroller. A 12V lead-acid battery powers the system, supplying the required voltage for all motors. The robots movement is driven by 100 RPM motors, while 60 RPM plastic-geared motors operate the mopping mechanism. Designed for compactness and ease of use, Cleanbot is portable and user-friendly Additionally, its mops and wipers are repurposed from waste materials, incorporating an eco-friendly aspect into the project. By integrating automation and sustainability, Cleanbot offers an innovative solution for efficient and effortless floor cleaning.

39. Secure File Storage on Cloud using Hybrid Cryptography with Triple Encryption

AUTHOR NAME : Shilpa Burade, Prof. Jayant Adhikari, Prof. Nilesh Mhaiskar, Prof. Mukesh Trone

40. Voice Assistant Home Automation Using Arduino

AUTHOR NAME : Mahesh Raut, A. P. Pethkar, Divikesh D. Kamble, Saloni V. Dudhe, Sonu B. Bhasme, Sanu Mohaley, Aditya Mendhule

ABSTRACT : The essential aim of this project is to extend a home automation system the usage of an Arduino board with Bluetooth being remotely controlled through manner of way of Android smart telecall smartphone. As technology is advancing so houses are also getting smarter. Modern houses are progressively transferring from conventional. switches to centralized control system, regarding far-flung controlled switches. Presently, conventional wall switches located in one-of-a-type factors of the house makes it difficult for the client to go near them to perform. Even greater it becomes greater difficult for the elderly or physical handicapped people to do so. Remote controlled home automation system gives a most contemporary-day solution with smart phones. In order to benefit this, a Bluetooth module is interfaced to the Arduino board at the receiver surrender while on the transmitter surrender, a GUI software program on the mobility telecast smartphone sends ON/OFF commands to the receiver in which hundreds are associated. By touching the preferred region on the GUI, the hundreds can be grown to end up ON/OFF remotely via this technology. The hundreds are operated through manner of way of Arduino board via Relay.

41. Enhancing Smart Campus Experiences in Higher Education with AI-Powered Voice Assistants

AUTHOR NAME : Prof. N. B. Vairagde, Lokesh Sawalkar, Pratik Bhalme, Ankit Surkar, Dipika Uparade, Vaishanvi Chavhan

ABSTRACT : The integration of AI-driven voice assistants in higher education is transforming smart campus experiences by enhancing accessibility, efficiency, and student engagement. These intelligent systems leverage natural language processing (NLP) and machine learning (ML) to facilitate seamless interactions between students, faculty, and campus services. By integrating voice-enabled AI with smart campus infrastructure, institutions can create a more connected and automated environment, improving communication and operational efficiency. These systems personalize learning experiences by offering tailored recommendations, reminders, and academic assistance, fostering a more inclusive and supportive educational ecosystem. As advancements in artificial intelligence, speech recognition, and cloud-based computing continue, voice assistants will play an increasingly vital role in shaping the future of higher education. Administrative processes, and provide personalized support positions them as a key component of modern smart campus solutions.

42. Self-Healing Concrete: Advancing Durable and Resilient Infrastructure

AUTHOR NAME : Tushar Parate, Ketan Maskar, Pratik Mendhe, Rushikesh Koshti, Aditya Chinchalkar

ABSTRACT : Concrete, the very basis of modern construction, is vulnerable to cracking, affecting structural stability and escalating upkeep expenditures. Self-healing concrete introduces a pioneering idea where cracking can be independently filled by automatically self-repairing concrete. In this document, major self-healing approaches have been elaborated upon: autogenous healing, encapsulated healing agents, and microbial-induced healing. Autogenous healing employs unused cement particles, whereas encapsulated healing implements microcapsules with healing agents which get liberated as the cracking process initiates. Microbial healing uses bacteria that form calcium carbonate to close cracks. These methods increase crack closure, strength regain, and durability. Self-healing concrete minimizes repair frequency, reduces lifecycle costs, and reduces carbon emissions related to reconstruction. While initial expense is greater, long-term savings make it an attractive solution for critical infrastructure, such as bridges, tunnels, pavements, and marine structures. More investigation is needed to maximize healing efficiency, determine multi-cycle performance, and establish normative test protocols.