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Shri Shankarprasad Agnihotri College Of Engineering, Wardha, Maharashtra, India
International Conference on "Viksit Bharat@2047: Integrating Swadeshi Technologies and Multidisciplinary Entrepreneurship for Socioeconomic Sustainability (ISTMESS 2026)"

Date: 29 & 30 April 2026

Special Issue Papers

1. Performance Evaluation of Pulverized Bentonitic Clay as a Partial Cement Replacement in Concrete

AUTHOR NAME : Tushar W. Parate, Rajlaxmi R. Mankar, Sakshit S. Dharne, Yash S. Kapse

ABSTRACT : With the growing demand for sustainable building materials, alternative use of supplementary cementitious materials (SCM) to minimize Ordinary Portland Cement (OPC) use has been encouraged. The present study is aimed at evaluating the performance of Pulverized Bentonitic Clay (PBC) as a partial replacement of cement in Concrete. Concrete mixes were prepared by substitution of cement in the different proportions from 0% to 20% of PBC. The workability, compressive strength, split tensile strength and flexural strength of standard concrete samples were tested at 7, 14 and 28 days of casting, curing and testing. It was found that the property of fresh and hardened concrete is significantly affected by PBC. The mechanical properties of the samples were similar to the conventional concrete with moderate replacement level, and decreased with the gradually increasing replacement ratios because of the decrease in cementitious materials. Optimum replacement level of 10-15% was found to give satisfactory strength and workability. The study indicates that PBC is an effective sustainable supplementary material, which can decrease the amount of cement used and also minimise environmental impacts associated with the production of concrete.

2. Design and Implementation of a CO-PO Attainment Monitoring System for Engineering Programs

AUTHOR NAME : Chandan D. Sawarkar, Dr. Chandrakant Kothare, Amey M. Darne, Akshay R. Nanotkar, Sneha A. Rathod, Tanisha M. Jadhao, Karan K. Kolhe, Mayur R. Blende

ABSTRACT : Outcome Based Education (OBE) is essential in modern engineering education to ensure that students achieve clearly defined learning outcomes. With the implementation of NEP 2020 and CBCS, institutions are required to adopt systematic and transparent approaches for evaluating Course Outcomes (CO) and Program Outcomes (PO). This paper presents a CO–PO mapping and attainment system designed for engineering programs. The proposed system utilizes both direct and indirect assessment methods, including internal examinations, assignments, laboratory performance, and student feedback, to automate the calculation of attainment levels. It also generates analytical reports that assist faculty members in evaluating student performance and identifying areas for improvement. The system enhances accuracy, transparency, and efficiency, while supporting accreditation processes such as NBA and NAAC.

3. Sports Athlete Tracking and Management System

AUTHOR NAME : Vaishali V. Jikar, Mr. Abhishek S. Gawande, Mr. Shrihari S. Wankhade, Sakshi O. Belkhede, Harshal R. Kale, Nikita Vairagade

ABSTRACT : The Sports Athlete Tracking and Management System is a digital platform designed to monitor, analyse, and manage athlete performance efficiently. This system helps coaches, trainers, and sports organizations track important data such as fitness levels, training schedules, injury records, and performance statistics in a centralized database. By using modern technologies like web applications and data analytics, the system provides real-time updates and insights to improve decision-making. It allows athletes to view their progress, receive personalized training plans, and maintain their health records. Coaches can evaluate performance through reports and visual dashboards, enabling better planning and talent identification. The system also ensures secure data management and easy accessibility from anywhere. This project aims to enhance athlete performance, reduce manual record-keeping, and improve communication between athletes and management. It is a scalable and user-friendly solution for sports academies, teams, and institutions seeking efficient athlete management.

4. SSPACE Assist Smart College Learning & Support Platform

AUTHOR NAME : Prof. D. M. Deotale, Aditi S. Thakare, Nidhi S. Gabhane, Manjusha G. Selokar, Vaishnavi S. Makh

ABSTRACT : The increasing reliance on digital technologies in higher education has created a need for intelligent academic management system that can streamline learning and administrative processes. This review paper presents a comprehensive analysis of smart college learning and academic support platform with a focus on role-based access control, subject-wise data segregation, performance monitoring and artificial intelligence-based assistance. The study investigates existing learning management system and institutional platform through a systematic literature review and comparative analysis to identify their strengths, limitations, and research gaps. The analysis reveals that traditional system often lack personalization, real-time analytics, and integrated intelligent support, leading to inefficiencies in academic workflows. The review further examines architectural models and modern web-based frameworks that support scalable and secure academic platforms. Results of the analysis indicate that platforms incorporating role-based and subject-based access mechanisms along with AI-enable tools significantly enhance transparency, data security, and academic efficiency. The paper concludes that smart academic platforms play a vital role in improving teaching effectiveness, student engagement, and overall learning outcomes in higher education institutions.

5. Smart Campus Administration & Resource Management System

AUTHOR NAME : Prof. V. V. Jikar, Mr. Abhishek S. Gawande , Mr. Shrihari S. Wankhade, Sakshi O. Belkhede, Harshal R. Kohale

ABSTRACT : The Smart Campus Administration & Resource Management System is a web-based platform developed to automate and simplify the administrative and resource management activities of educational institutions. The system integrates key functions such as student information management, staff coordination, fee tracking, attendance monitoring, and resource allocation into a centralized and efficient digital solution. It reduces manual paperwork, improves data accuracy, and enhances overall operational efficiency. An important feature of this system is the Notification Alert System, which enables real-time communication between administrators, students, and staff. It provides instant alerts for fee reminders, attendance updates, exam schedules, results, and important announcements through in-app notifications, email, or SMS. This ensures that users stay informed and do not miss any critical updates, thereby improving responsiveness and engagement.

6. Development of a Solar-Based Onion Storage Structure to Reduce Post-Harvest Losses: A Review

AUTHOR NAME : Dilip R. Rangari, Sandip S. Jawre, Dr. Chandrakant B. Kothare, Umesh N. Galat, Poonam P. Tagade, Abhijit A. Kanaskar, Shubham Deulkar

ABSTRACT : A significant problem that is affecting the small-scale farmers is post-harvest losses of onions, which is mostly caused by poor storage facilities and poor environmental conditions like high temperature and poor ventilation conditions. These aspects usually cause severe losses due to the moisture build up, sprouting and rotting of the stored onions. The paper under discussion demonstrates the design of a solar powered onion storage system that intends to enhance the ventilation of the storage facility, as well as the appropriate temperature and humidity levels inside the storage facility. The suggested system employs solar power to drive a ventilation system to increase circulation of air in the storage unit and to help eliminate excessive moisture within the storage unit. The system will strive to eliminate deterioration and increase the longevity of onions by having a more controlled storage environment. The storage facility is made with cheap and locally sourced materials and thus affordable and viable to be adopted by small-scale and rural farmers. The solar-powered storage system developed offers an energy efficient, sustainable yet cost effective solution to the reduction of post-harvest losses and enhancing the shelf-life and overall quality of onions in storage.

7. Compatibility and Performance Analysis of E20 Ethanol–Gasoline Blends in BS4 and BS6 Indian Two-Wheelers: A Review

AUTHOR NAME : Sandip Jawre, Dilip Rangari, Umesh Galat, Dr.Chandrakant B. Kothare, Punam Tagade, Abhijit Knaskar, Chetan Ikhar, Om Dhoke

ABSTRACT : Ethanol blending with gasoline is being promoted globally due to the increasing demand for cleaner and sustainable transportation fuels. In India, the government has introduced the E20 fuel program, which aims to achieve 20% ethanol blending in gasoline to reduce dependence on fossil fuels and lower vehicular emissions. Since two-wheelers represent a major share of the Indian transportation sector, it is important to evaluate the performance and compatibility of ethanol–gasoline blends in engines designed under different emission standards such as BS4 and BS6. This review paper presents an analysis of previous studies on the use of ethanol–gasoline blends (E10–E20) in spark ignition engines, particularly in Indian two-wheelers. The study reviews key physicochemical properties of ethanol blends, including density, calorific value, viscosity, octane number, and volatility, and discusses their influence on combustion and engine performance. It also examines the impact of ethanol blending on fuel economy and exhaust emissions, including CO, HC, and NOx. The review highlights challenges in adopting E20 fuel in existing BS4 vehicles and the readiness of BS6 engines for higher ethanol blends.

8. Design, Fabrication, and Performance Evaluation of a Water Soaking Machine for Ground Applications.

AUTHOR NAME : Mr. Umesh Galat, Dr.Chandrachant Kothare, Mr. Sandip Jawre, Mr. Dilip Rangari, Ms. Poonam Tagade, Mr. Abhijeet Kanaskar, Mr. Kiran Lende, Mr. Nitesh Diyewar, Mr. Bhushan Gaukar

ABSTRACT : Efficient water management is essential for maintaining soil moisture and reducing water wastage in agricultural and ground maintenance applications. Conventional watering methods often result in uneven water distribution, high labor requirements, and significant water losses through runoff and evaporation. This study presents the design and development of a Water Soaking Machine for Ground that enables controlled and uniform water infiltration into the soil. The proposed system consists of a mobile chassis, water storage tank, pump, and specially designed water delivery mechanism integrated with mechanical and hydraulic components. The machine operates on the principle of pressurized water flow, allowing deeper soil penetration and improved moisture retention within the root zone. Adjustable operating parameters such as pressure, flow rate, and soaking depth make the system suitable for different soil conditions. The portable and cost-effective design enhances irrigation efficiency while reducing manual effort. The proposed machine offers a practical solution for agricultural fields, sports grounds, and landscaped areas, supporting sustainable water management and improved soil moisture distribution.

9. Optimization of Pyrolysis Process Parameters: A Comprehensive Review

AUTHOR NAME : Abhijit Knaskar , Sandip Jawre, Dilip Rangari, Umesh Galat, Punam Tagade, Pragati Kholapure, Om Thakare

ABSTRACT : This comprehensive review analyzes the optimization of critical pyrolysis process parameters—including reaction temperature, heating rate, vapor residence time, and catalyst loading—to maximize the yield and quality of bio-oil, bio char, and syngas. Operating within an optimal 450°C–550°C range balances devolatilization against secondary cracking, which directly controls liquid output. Incorporating acidic catalysts (like ZSM-5) lowers activation energy, yielding stable, deoxygenated bio-crude. Advanced statistical methods like Response Surface Methodology (RSM) and predictive Machine Learning models are vital for mapping multi-objective outcomes. Furthermore, innovative configurations like catalytic co-pyrolysis exploit synergistic effects between biomass and plastics to eliminate sorting costs and improve fuel properties. However, real-world scaling faces significant hurdles, including high computational costs, rapid catalyst coking, heat transfer resistance, and feedstock variability. Resolving these engineering trade-offs is essential for transforming bench-scale pyrolysis into a profitable, commercial-scale circular economy system.

10. Design and Fabrication of Floating Sun Tracker Hydraulic Solar Panel System

AUTHOR NAME : Punam P Tagade, Harshal G Yenurkar, Yash Khedkar, Abhijit Sonwane, Omkar Deshkar

ABSTRACT : The increasing demand for renewable energy has encouraged the development of efficient solar power systems. This project presents the design and fabrication of an automated sun tracking solar panel that continuously aligns itself with the sun to maximize energy generation. The system uses Light Dependent Resistor (LDR) sensors to detect sunlight intensity and direction. An Arduino-based controller processes the sensor signals and operates a motorized mechanism to adjust the panel position. Unlike fixed solar panels, the tracking system maintains optimal exposure to sunlight throughout the day. The proposed system is simple, reliable, and cost-effective. Experimental results show that the sun tracking panel generates significantly more energy than a fixed panel. The efficiency improvement is found to be approximately 20–35%. The system can be used for both domestic and commercial applications. Thus, it promotes better utilization of solar energy and supports sustainable power generation.

11. Artificial Intelligence and Machine Learning in Financial Services

AUTHOR NAME : Ritesh Duratkar, Ayush Jawade, Soham Sawarkar, Riya Bongade, Yash Telang, Spandan Rathod

ABSTRACT : The financial services industry has evolved from traditional paper-based systems to advanced digital platforms, creating new challenges in data management, decision-making, and fraud prevention. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as effective technologies for improving efficiency, accuracy, and risk management in financial operations. This paper presents a study on the application of AI and ML in modern financial services and demonstrates an AI-based bank credit prediction system developed as part of the research. The proposed system analyzes customer financial, behaviour, and economic data to support loan approval and credit evaluation processes. The study highlights how AI and ML enhance decision support, reduce risks, and improve operational performance while maintaining human oversight in critical financial decisions. The findings indicate the significant potential of intelligent technologies in transforming the future of financial services.

12. Software-Defined Hardware-Assisted Secure Authentication Framework for ESP32 IoT Devices

AUTHOR NAME : Chandrakant Kothare, Sangita Karhar, Ashish Gawali, Rupali Kalokar, Madhuri Ghongade, Sneha Gadkari

ABSTRACT : The rapid proliferation of Internet of Things (IoT) devices has introduced significant security challenges, particularly in authentication and device identity management. Resource-constrained microcontrollers such as the ESP32 are widely adopted due to their low cost, integrated connectivity, and flexibility, but they remain vulnerable to physical attacks, firmware cloning, and credential theft. This review paper examines software-defined, hardware-assisted secure authentication frameworks for ESP32-based IoT devices. It surveys existing authentication mechanisms, evaluates ESP32’s built-in hardware security features, and analyzes how software-defined security architectures can leverage hardware primitives to enhance trust, scalability, and resilience. The paper identifies open research challenges and highlights future directions for secure authentication in large-scale IoT deployments.

13. Optimization of Natural Dye Extraction from Turmeric for Cotton Fabric

AUTHOR NAME : Chandrakant Kothare, Sangita Karhar, Wrunda Kothare, Rupesh Tanvaish, Shilpa wagh, Bhavana Vaidya.

ABSTRACT : Turmeric (Curcuma longa L.) is a widely available natural colorant whose principal pigment, curcumin, imparts a characteristic yellow hue to cellulosic fibers such as cotton. Growing environmental concerns regarding the ecological impact of synthetic dyes have renewed interest in natural dye sources for sustainable textile applications. However, turmeric dyeing is frequently associated with poor reproducibility, variable shade development, and moderate colour fastness, particularly when extraction and mordanting parameters are not systematically controlled. The dye yield and performance on fabric are strongly influenced by factors such as particle size of the raw material, solvent composition, extraction temperature, extraction duration, and material-to-liquor ratio. Consequently, optimization of these parameters is necessary to obtain consistent and reliable dyeing The present study synthesizes findings from published literature and proposes a standardized optimization framework suitable for polytechnic-level textile laboratories. Emphasis is placed on enhancing extraction efficiency and colour strength through controllable process variables, including solvent system aqueous and ethanol–water mixtures), extraction temperature, extraction time, and liquor ratio.

14. A Review of Microplastic Pollution in Marine Ecosystems: Sources, Distribution, Ecological Impacts, and Mitigation Strategies

AUTHOR NAME : Manisha Munjewar, Swati Kulkarni, Priya Tayawade, Harish Korde, Sunil Narse, Vaishali Tayade

ABSTRACT : Marine ecosystems worldwide are being impacted by microplastic contamination, which has become a major environmental issue. Plastic particles smaller than 5 mm in diameter are known as microplastics, and they can come from either purposefully produced microscopic plastic particles used in consumer goods or from the breakdown of bigger plastic trash. Microplastics have been found in sediments, oceans, coastal waters, marine life, and even isolated marine habitats. The sources, distribution, ecological effects, trophic transmission, detection techniques, and mitigation measures related to microplastic contamination in marine ecosystems are all thoroughly covered in this review study. The ramifications for marine biodiversity and possible health hazards associated with seafood eating are also highlighted in the study. The build-up of plastic garbage in maritime ecosystems has been mostly caused by rising plastic production worldwide and insufficient waste management systems. Coordinated international efforts are needed to address this problem, including improved waste management, policy changes, technology innovation, and public awareness.

15. IoT-Based Waste Management System

AUTHOR NAME : Wasique Raza

ABSTRACT : Rapid urbanization and population growth have created unprecedented challenges in municipal solid waste management. Conventional waste collection systems are plagued by inefficiencies — overflowing bins, unnecessary fuel consumption, and a lack of real-time data — leading to public health hazards and environmental degradation. This paper proposes and evaluates an Internet of Things (IoT)-based smart waste management system that integrates ultrasonic fill-level sensors, RFID tracking, GPS-enabled collection vehicles, and a cloud-based analytics platform to create an intelligent, responsive, and sustainable urban waste ecosystem. The system employs microcontrollers (Arduino/Raspberry Pi) connected via MQTT protocol to a centralized server, enabling real-time bin monitoring, dynamic route optimization for garbage trucks, and predictive analytics for waste generation forecasting. Prototype testing in a simulated urban environment demonstrated a 40% reduction in collection trips, 35% savings in fuel costs, and a 98.6% bin overflow prevention rate. The findings affirm that IoT-based waste management is a technically feasible and economically viable solution for smart cities, with significant implications for sustainability and public health.

16. Design and Appraisal Implementation of a Web-Based Performance System

AUTHOR NAME : Mr. Devendra B. Dandekar, Uruwela M. Suryawanshi, Dhanshree S. Bhatkar, Suhani R. Bele, Dhanshri S. Chafle, Bapurao G. Pardhi, Chetan M. Khirwatkar

ABSTRACT : In many colleges and universities, evaluating the performance of teachers is essential for maintaining the quality of education. The Performance Based Appraisal System (PBAS) is widely used to assess the academic and professional activities of faculty members. However, in many institutions, this process is still carried out manually using paper-based records or spreadsheets. Such methods are time-consuming, prone to calculation errors, and inefficient in terms of data management. To address these challenges, this study presents the development of a web-based system that automates the faculty appraisal process. The system allows teachers to enter their academic data through an online interface, while performance scores are calculated automatically based on predefined criteria. The application is developed using PHP and MySQL for efficient data processing and storage. The proposed system reduces manual effort, improves accuracy, and ensures a transparent and organized evaluation process, making it easier for institutions to manage faculty performance records and generate reports.

17. An Intelligent Automatic Timetable Generator Using AI

AUTHOR NAME : Ms. Ashmita R. Ghongade, Komal R. Thakare, Harshal Shamshettiwar, Shrutika M. zade, Akanksha V. Vanjari.

ABSTRACT : Timetable generation in higher educational institutions is a complex, error-prone process that relies heavily on manual efforts and spreadsheet-based methods, leading to inefficiencies in managing faculty workloads, rooms, and student schedules. This research introduces "Timely," an AI-driven automated timetable generation system developed as a native Android application. The system features a Flask-based backend with MySQL database for efficient data management of courses, faculty, rooms, and batches. At its core, a fine-tuned AI model intelligently generates optimized weekly timetables by considering multiple institutional constraints such as room availability, faculty preferences, workload equity, practical sessions, and academic policies. Unlike traditional approaches like Genetic Algorithms or Constraint Satisfaction Problems, Timely uses domain-adapted machine learning to produce conflict-free schedules with minimal manual tuning. It provides role-based access through intuitive dashboards for administrators, faculty, and students, along with real-time notifications via Firebase Cloud Messaging. Evaluation results show a 70% reduction in administrative time and near-100% constraint satisfaction accuracy. Timely offers a scalable, mobile-centric solution for modernizing timetable management in resource-constrained academic environments.

18. CENTRALIZE NETWORK OF PATHOLOGY LABS WITH DIGITAL REPORT MANAGEMENT SYSTEM

AUTHOR NAME : Prof. Nikita B. Vairagade, Mr. Prajwal W. Bhatulkar, Miss Soniya S. Kohale, Miss. Priya S. Sakharkar

ABSTRACT : The Digital pathology integrates laboratory data and imaging to improve accuracy, speed, and accessibility in healthcare systems. This paper presents a “Centralized Network of Pathology Labs with Digital Reports Management System,” designed to connect multiple laboratories through a secure, web-based platform. The system enables laboratories to upload test results, generate standardized digital reports, and provide real-time access to authorized users including doctors, specialists, and patients. Traditional pathology practices rely on paper-based records, manual data entry, and isolated operations, causing delays, inconsistencies, and increased risk of errors. The proposed system overcomes these limitations through automation, centralized storage, and efficient data management, enhancing operational performance and diagnostic reliability. Developed using modern technologies such as HTML, CSS, JavaScript, React, Node.js, and MySQL, the system ensures data security through authentication, role-based access control, and encryption. It is scalable for future integration with cloud computing and AI-based diagnostic tools. Overall, the system improves turnaround time, collaboration, remote consultation, and patient care in digital healthcare environments.

19. AUTOMATTED ATTENDANCE SYSTEM USING QR-CODE

AUTHOR NAME : Prof. D. M. Deotale, Shreyashree S. Gawande, Anagha B. Tajne, Sakshi B. Pote, Vaishnavi M. Solanke

ABSTRACT : In today’s digital world, smartphones have become an important part of daily life by making tasks quicker and easier. Attendance management in schools, colleges, and organizations is one area where technology can be very useful. This paper presents a smart attendance system based on QR code technology using mobile and web applications. Unlike traditional methods such as manual registers or RFID systems, QR codes are low-cost, easy to create, and simple to use. The proposed system includes two applications: one application generates a unique QR code using student or employee information, and the other application scans the QR code to mark attendance. Teachers or administrators use a smartphone to scan the QR code, and the attendance data is stored securely in a central database. Attendance is recorded in binary format, where ‘1’ indicates present and ‘0’ indicates absent, and reports can be exported in CSV or XLS format. The system also provides identity verification to reduce fake or incorrect attendance entries. Overall, this QR code-based attendance system improves accuracy, saves time, and provides an efficient solution for attendance management.

20. AI Notexis: An Intelligence Framework for Automated Generation of Lecture Notes, Slides and Assessments from Academic Syllabi

AUTHOR NAME : Miss Chandan D. Sawarkar, Asif Khan, Srushti Vaidya, Swati Talwekar, Suhani Wankhede

ABSTRACT : Digital learning platforms have emerged in the present educational environment which creates urgent requirements for educational systems that need to produce learning materials at scale. Notexis functions as an innovative AI-based system which generates educational materials through the conversion of professor-defined syllabi or topics into complete lecture notes and presentation slides and assessment materials. The system consists of an AI Content Generator as its main component which operates together with three specialized engines that produce content through the Notes Engine and Slides Engine and Quiz Engine. The document presents an overview of Notexis which includes its fundamental design elements and AI systems and its first assessment results which demonstrate its potential to improve teaching and learning processes. The results from preliminary prototyping demonstrate that Notexis can achieve a 70 percent decrease in content development duration while preserving academic standards and educational continuity.

21. Smart Acad Letters: Intelligent Academic Document Generation System

AUTHOR NAME : Prof. Nikita B. Vairagade, Mr. Aftab khan, Miss. Tejaswi Chambhare, Mr. Aniket Bharti, Ashwin Khadase

ABSTRACT : There are many reasons you may need to write a letter from your job. You may have personal or family related reasons for needing to take extended time away from your job. Letters are basically written by a student of a school/college or an employee of an organization towards the concerned person. We propose automatic letter writing using web programming. Students are still using paper and pen to write a letter, otherwise writing a letter on electronic mail and send it to concern official by a SMTP email protocol. This system includes many letters like leave letter, bonafide request letter, on duty letter, defaulter letter, fees structure request letter. This will automatically generated by only entering name and reason for letter by the user rather than writing manually. Then it will automatically generate full letter.

22. Smart Result Management System (SRMS)

AUTHOR NAME : Prof. Ashmita R. Ghongade, Mohit R. Chincholkar, Khushi G. Pawar, Pratik S. Kitukale, Yash R. Tompe.

ABSTRACT : The Smart Result Management System (SRMS) is a digital solution designed to simplify and automate the process of managing student academic results in educational institutions. Traditional result management methods are often manual, time-consuming, and prone to human errors. The proposed system aims to overcome these issues by providing an efficient, secure, and user-friendly platform for storing, processing, and displaying student academic data. The Smart Result Management System allows administrators and teachers to easily manage student information, subjects, marks, and grades through a centralized database. The system automatically calculates results, generates reports, and maintains accurate academic records. Students can also access their results quickly through the system, improving transparency and accessibility. This system reduces paperwork, minimizes calculation errors, and saves time for institutions. It also ensures better data organization, faster result processing, and improved academic performance monitoring. The Smart Result Management System can be implemented in schools, colleges, and universities to enhance the efficiency and reliability of result management.

23. Review on Development of Smart College Assistant Robot

AUTHOR NAME : Wasique Raza, Imran S. Khan, Sakshi Zile , Samta Boharapi, Pallavi Tekode, Vrushali Jadhav

ABSTRACT : The rapid advancement of digital technologies and the increasing adoption of the Internet of Things (IoT) have significantly transformed conventional systems into intelligent and automated solutions. Educational institutions are progressively integrating smart technologies to enhance operational efficiency and improve user experience. This project presents the development of a Smart College Assistance Robot using an ESP8266 microcontroller and IoT-based architecture. The system functions as an automated help desk installed in college corridors to provide essential information related to departments, classrooms, administrative offices, and admission procedures. User interaction is achieved through predefined inputs, and the system processes queries by accessing a preloaded database. The output is delivered through both an LCD display and a voice module, ensuring accessibility and ease of understanding. The proposed system minimizes dependency on human staff, reduces workload, and ensures continuous availability of services. It is cost-effective, scalable, and easy to maintain. This project contributes to the concept of smart campuses by enhancing information accessibility, improving service efficiency, and supporting the digital transformation of educational institutions.

24. Campus Stock Tracker: A Smart College Store Management & Inventory Tracking System

AUTHOR NAME : Vaishali V. Jikar, Devyani S. Mundane, Pranjali Thigale, Sahil Gadge, Sandesh Ghuge

25. Smart Home Automation Using Internet Of things Voice Control

AUTHOR NAME : Wasiq Raza, Anuprita Linge, Harshali Gayakwad, Sahil Dabhade, Rashmi Kovhale

ABSTRACT : Voice-controlled home automation, powered by the Internet of Things (IoT), represents a significant advancement in modern living, offering enhanced convenience, efficiency, and security. This paper presents the development and implementation of a voice-controlled home automation system using Bluetooth and Arduino-based microcontrollers. The system focuses on low-cost, offline voice command-based control of electrical appliances, addressing the limitations of traditional sensor-heavy and cloud-dependent automation systems. The study explores the architecture of these systems, including the interaction between smart speakers, central hubs, and IoT-enabled devices like lights, thermostats, security systems, and entertainment units. It addresses the technical challenges involved, such as ensuring interoperability among diverse devices, maintaining user privacy, and securing data transmissions. Additionally, the paper examines the practical benefits of voice controlled home automation, from energy efficiency and enhanced security to improved accessibility disabilities. By providing a comprehensive analysis of voice controlled home automation using IoT, this paper aims to shed light on the transformative potential of this technology in creating smarter, more responsive living environments. The findings underscore the importance of robust design and secure implementation to fully realize the benefits of this innovative approach to home automation.

26. From Waste to Watts: A Photovoltaic Approach to Harvesting Flame Energy

AUTHOR NAME : Anuprita P. Linge, Manisha T. Chafle

27. Personal safety device for women using GPS and GSM

AUTHOR NAME : Anuprita P. Linge, Aditya P. Pethkar

ABSTRACT : Women’s safety has become a critical global concern due to the increasing number of harassment cases, crimes, and delayed emergency responses in critical situations. In many instances, victims are unable to seek help quickly, which highlights the need for a reliable, fast, and easily accessible safety solution. This paper presents the design and implementation of an advanced IoT-based women safety smart watch that enables real-time emergency communication using GPS and GSM technologies. The proposed system is built around a compact and power-efficient microcontroller, the Seeeduino XIAO ESP32C3, which ensures high performance to maintain a small wearable form factor. The system integrates a Ublox Neo-6M GPS module to continuously track the user’s real-time geographical location and a SIM800L GSM/GPRS module for wireless communication. These components work together to provide a seamless emergency alert mechanism. This button is strategically placed to allow the user to trigger an emergency alert quickly and discreetly during dangerous situations. Once activated, the system immediately captures the current GPS coordinates and sends an alert message via GSM to predefined emergency contacts, such as family members, friends, or nearby security authorities. The alert message includes a Google Maps link for easy and accurate location tracking. In addition to emergency functionality, the smart watch includes an SSD1306 OLED display that provides real-time information such as time, date, and system status during normal operation. This ensures that the device functions as a regular smartwatch, making it practical and no suspicious for daily use. The system is designed to be lightweight, portable, and energy-efficient, ensuring long-term usability. The proposed solution focuses on affordability and scalability, making it accessible to a wide range of users. Experimental results indicate that the system is capable of accurately obtaining GPS location data and transmitting emergency alerts within a very short response time. The communication between modules is stable, and the alert delivery is consistent even in low-network conditions.

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