IJAITE- International Journal of Advanced Innovative Technology in Engineering

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

Volume 7 Issue 3 May 2022

1. Utilization of Geotextile in Civil Engineering Work’s

AUTHOR NAME : Aparna V. Kose, Mohini N. Sonone, Mayuri D. Meshram, Somu S. Gondule, Vaibhav S. Zade, Aniket N. Tajane, Prof. Shrikant R. Nagoshe

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2. Samyak S. Moon, Shailendra Bhagat, Nidhi Gomase, Sneha Dhawne, Md. Yameen, Aditya Sarode, Prof. Shrikant R. Nagoshe

AUTHOR NAME : Experimental Study on Properties of Concrete Using Admixture as Penetron

ABSTRACT : This research investigates the effects of the waterproofing admixture Penetron Admix on the fresh and hardened properties of structural concrete and assesses whether the product is suitable for use on construction projects. Many tests were conducted by the researchers by using a grade 25 control mix containing different percentages of admixtures and keeping the water content ratio constant. The results showed that Penetron Admix enhanced the properties of the concrete. Even with the small percentage increase of 0.8% dosage, there was an increase in compressive strength of 15%. The results of 28 days of curing period were significantly more than 7 days of curing for compressive strength. At a standard dosage of 0.8% increase in compaction, a factor was observed in the range of 0.92-0.98 for compaction factor value. Permeability was decreased by 79% with the standard dosage of 0.8was an increase in compressive strength of 15%. The results of 28 days of curing period were significantly more than 7 days of curing for compressive strength. A higher dosage was even more beneficial for the strength, but with a higher dosage, the cost of the concrete will also increase. An increase in workability was also observed with 2% use of admixture and the initial setting time was increased by 30 minutes and the final setting time was increased by 1 hour. At a standard dosage of 0.8% increase in compaction, a factor was observed in the range of 0.92-0.98 for compaction factor value. Permeability was decreased by 79% with the standard dosage of 0.8.

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3. Operation and Maintenance of Sewage Treatment Plant

AUTHOR NAME : Madhukar B. Patil, Nitin A. Bawane, Krishnakant D. Thakare, Rajesh D. Thakare, Ajay R. Kamble, Prof. Tushar W. Parate

ABSTRACT : Sewage treatment is a type of wastewater treatment that aims to remove contaminants from sewage to produce an effluent that is suitable for discharge to the surrounding environment or an intended reuse application, thereby preventing water pollution from raw sewage discharges. Sewage contains wastewater from households and businesses and possibly pre-treated industrial wastewater. There are a high number of sewage treatment processes to choose from. These can range from decentralized systems to large centralized systems involving a network of pipes and pump stations, which convey the sewage to a treatment plant for cities that have a combined sewer, the sewers will also carry urban runoff to the sewage treatment plant. Sewage treatment often involves two main stages, called primary and secondary treatment, while advanced treatment also incorporates a tertiary treatment stage with polishing processes and nutrient removal. Secondary treatment can reduce organic matter from sewage, using aerobic or anaerobic biological processes.

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4. Ecological Bricks by Using Waste Plastics

AUTHOR NAME : R. A. Shaikh, P. S. Ghume, M. J. Sheikh, J. R. Sheikh, D. M. Sayyed, A. R. Sheikh, Prof. V. Shrirame, Pratisha A. Patil

ABSTRACT : This paper manages the utilization of waste plastic bottle containers as brick material. Plastic waste which is expanding step by step moves toward becoming high and also dirties the earth, particularly in high mountain towns and visitor trekking areas where no rubbish accumulation framework exists and furthermore which are disposed of or burned which prompts the pollution of land and air. The transfer of waste plastics is the greatest test, as continued reusing of PET bottle containers represents a potential risk of being changed to a cancer-causing material and just a little measure of PET bottles is being reused. Thus these Polyethylene terephthalate (PET) bottles are cleaned and included with fine total (sand) at different ratios (1:2, 1:3, 1:4) to acquire high-quality brick blocks that have warm and sound protection properties to control contamination and to decrease the general expense of development, Thus this sort of brick blocks are ideally utilized for underground septic tank construction, submerged constructions, and underground construction like passages and furthermore utilized for the substructure of the buildings so as to oppose the leakage of the water on account of less water absorption limit and furthermore have a high compressive quality which opposes the substantial basic burdens.

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5. Evolution of Hollow Concrete Block by using Granite Fine

AUTHOR NAME : R. R. Padole, S. A. Nagtode, K. B. Kosamkar, C. T. Alone, Prof. Tushar W. Parate

ABSTRACT : Solid waste management including the granite fines has become one of the major environmental concerns in the world. With the increasing awareness about the environment, scarcity of land-fill space, and due to its ever-increasing cost, waste materials and by-product utilization like granite fines have become an alternative to disposal. In this work, we have highlighted some aspects concerning the use of granite fines in various proportions in the manufacture of hollow concrete blocks. In this high performance, Hollow blocks are manufactured of size 400mm x 200mm x 200mm utilizing granite fines as an additive. This granite fines waste can be utilized for the preparation of concrete as a partial replacement of coarse aggregate to improve the workability of concrete due to the exorbitant hike in the price of coarse aggregate and its limited availability. The percentages of granite fines added by weight to replace coarse aggregate weight were 0, 12.5, 25, 37.5, and 50. The compressive strength of blocks was tested for 7, 14, and 28 days. The test results indicate the replacement of coarse aggregate with granite fines has a beneficial effect on mechanical properties such as compressive strength. The hollow concrete blocks made with 1:2:4 mix proportion using 25% granite fines replacement with coarse aggregate gave optimum compressive strength of 7.85 N/mm2. Based on the results of this research work it can be concluded that High Strength and High-performance Hollow Concrete Blocks can be manufactured by using the Granite fines as an additive.

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6. Utilization of Industrial Waste in Pervious Concrete

AUTHOR NAME : Anand W. Kale, Shruti K. Sontakke, Chanchal G. Talwekar, Moreshwar A. Khadse, Shravan A. Dasarwar, Virag S. Hiwarkar, Prof. Shrikant R. Nagoshe

ABSTRACT : In precast concrete, the amount of fine aggregate is small or not at all aggregate as good as sand, hence the so-called “No fine or thin concrete”. This study reveals the impact of cement when changing Fly ash and slag mixed with various sizes of solid aggregate in continuous concrete materials such as compressive strength, water permeability, water absorption, and porosity. The water content of cement is 0.34 and the cement to coarse aggregate ratio is 1: 3 The thickness of the solid aggregate used is 10 mm and 20 mm. The cement used is OPC 53 range and the cement content is estimated to be 300 kg / m3. To test the compressive strength the full concrete cubes of 150mm * 150mm * 150mm are prepared and the investigation should be carried out over a period of 3 days, 7 days, and 14 days. Cubes size 100mm * 100mm * 100mm and cylinders size 100 mm dia. A length of 200mm is thrown to check the water penetration, water absorption, and Porosity. The result shows that the compressive strength of 20% filled concrete instead of fly ash and slag was more than 5 to 15% of the conversion. Collaborative interaction with accessibility and content was found to be the same for both size sizes.

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7. A Study of Flat Slabs Using Different Shear Reinforcement Parameters

AUTHOR NAME : A. V. Kohad, R. D. Ghasad, R. R. Thakare, Prof. V. B. Shrirame

ABSTRACT : Flat-Slab building is very popular from the aesthetic and architectural point of view. From a functional aspect, a flat-slab building is more efficient than an R.C. frame building. So, the construction of Flat-Slab buildings is increasing also in a high seismic zone. Sometimes international building codes remain silent about the seismic response of flat slab buildings. In this paper, the response of a Flat-Slab building and a normal symmetric R.C. frame building of the same dimension have been studied for varying seismic intensities. Static, Response Spectrum, Pushover, and Time history analysis have been performed to assess the performance of the two buildings. The costs of construction for these two buildings have also been compared. An extensive study on lumped plasticity model as per FEMA 356 with the varying position of the plastic hinge and its effect on the pushover curve has also been discussed in the paper. The paper also comments on the plastic hinge pattern.

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8. State of the Art Human Activity Detection

AUTHOR NAME : Veena K. Katankar, Piyush A. Fukat, Swapnil S. Urade, Tushar S. Tajne, Puja S. Delikar, Arti M. Waghmare

ABSTRACT : The mission of the Human Fight Detection is to control the growing violence in the day-to-day life of humans by implementing the appropriate violence detecting algorithms. Surveillance scenarios like prisons, psychiatric centers, or even embedded in camera phones, but cannot be more capable to solve the problem or cannot be more effective to take action on needed time such types of violence are now growing tremendously. As a consequence, there is rising interest in developing violence detection algorithms. Recent work is considered by the well-known Bag of Words framework for the specific problem of violence detection. Under the framework of this, spatial-temporal features are extracted from the video sequences and used for classification. The dataset of violence collected consists of fight scenes from surveillance camera videos available in sources online platforms. The dataset is made publicly available. From the extensive experiments conducted on Hockey Fight, Pellicle, and the newly collected fights datasets, the overall research has been totally helpful for us in finding the new potential for future references.

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9. CNN Algorithm Visualizer

AUTHOR NAME : Abishai Shankpal, Azhan Khan, Sahil Sarkar, Saquib Sheikh, Shoaib Shaikh, Sushant Menon

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10. Study on Super-Capacitor Based Metro Train

AUTHOR NAME : Madhuri K. Zore, Priya Ganeshsingh Bais, Shrikant Devendra Yawalkar, Vibhav Vipin Gupta, Amit kharabe, Pravin Tajne

ABSTRACT : We can produce power from a variety of sources, including solar, wind, hydro, coal as a plant fuel, and so on. However, most have expense issues with plant setup, operation, management, or the resource availability of fuels that will be depleted at some point. To minimize energy utilization during the voyage, a new generation of fast transit trains requires more better power management. In India, where the population is rapidly increasing, it is essential to manage traffic in India major cities as well as environmental damage in the atmosphere. As a result, the metro is the key to reducing traffic and these mass transit vehicles also facilitate a significant reduction in emissions. This metro is not entirely reliant on energy, which means that the continuous supply that is utilized to power the metro via an overhead line will be withdrawn. The metro train system overhead lines and other electrical infrastructure were also decreased. We will operate the metro train with the assistance of a super-capacitor bank, which will serve as a source. This supercapacitor unit will provide a constant supply to the trains motor. It comes with a one-time setup fee. The super-capacitor-based metro train is one of the best future successes, given the current high utilization of coal and other fuel.

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11.

AUTHOR NAME : Lakhan Jadhav, Karan Rinait, Mahendra Rahangdale, Jayesh Dhotkar, Sanket Bagde, Swapnil Madavi, Prof. Shubhangi Gondane

ABSTRACT : Today we are facing the greatest environmental problem of air pollution in the world is global warming caused by the emission of greenhouse gases. Carbon dioxide, which is an important constituent of the environment is causing a warming effect on the earths surface. Environment to save by us by continuous monitoring and controlling these changes is a big challenge nowadays. Terms for controlling CO emission at their source is a more and a long-range desirable and effective method through preventive and control technology. The main objective of this paper is to implement IoT to measure the CO emission from public transport, industries, and forest fires using Raspberry pi which is sensitive to CO. The amount of Carbon dioxide emitted is sensed continuously in a city and also finding the area which is polluted the most. Also, implement a smart system for early detection of forest fires or wildfires. Wildfires, are uncontrolled fires occurring in wild areas and cause significant damage to natural and human resources and the wildfires emit more CO gas than assumed in state climate target. These are then integrated into the IoT which is more securable and many services can be used along with it. This would enable a Simple Notification Service (SNS) to the mobile phone if the particular area is causing a higher level of CO.

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12. Pre-Implementation on Data Gathering Using Trajectory Selection and Loophole Detection in Wireless Sensor Network

AUTHOR NAME : Sakshi Vijay Kaulkar, Sneha Sanjay Bodhe, Pornima Prabhakar Narule, Ms. Veena K. Katankar

ABSTRACT : Data collection from several sources is one of the most common uses in wireless sensor networks. However, owing to the sensor nodes limited battery life, energy conservation is a major concern in WSN data collecting. As a result, the notion of the mobile node is presented to lower the energy utilization of sensor nodes. Sensor nodes are immobile in this approach, whereas sink nodes are mobile, collecting data from the static sensor node process and sending it to the base station. The motion sequence of the sink should be determined for better sink mobility so that the sink can follow the path and collect data more effectively and in less time. SinkTrail and SinkTrails, two energy-efficient proactive data reporting protocols are used to select the shortest path for sink mobility.

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13. Implementation on Data Gathering Using Trajectory Selection and Loophole Detection in Wireless Sensor Network

AUTHOR NAME : Sakshi Vijay Kaulkar, Sneha Sanjay Bodhe, Pornima Prabhakar Narule, Ms. Veena K. Katankar

ABSTRACT : In wireless sensor networks, data gathering is one of the main applications. In data collection energy saving is the main issue as the limited battery life of the sensor node is an issue to resolve so to reduce the energy consumption of sensor nodes a concept of the mobile node is introduced. In this concept, sensor nodes are static whereas the sink nodes are movable which collects the data from the static sensor node process and transfer the data to the base station. For improving the sink mobility, the mobility pattern of the sink should be decided, so that sink can follow the path and gather the data efficiently also in less time. SinkTrail and SinkTrails, are two energy-efficient proactive data reporting protocols that are used to select the shortest path in case of sink mobility.

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14. Diabetes Prediction using Machine Learning

AUTHOR NAME : Daksh Ghatate, Sanket Bhoyar, Mohammed Rayyan, Madhurmeet Jadhav, Farhan Qureshi, Ima Rahman, Prof. Dr. M. S. Khatib

ABSTRACT : Diabetes is a chronic disease that has the potential to trigger a global health disaster. According to the International Diabetes Federation, 382 million people worldwide have diabetes. By 2035, this figure will have more than quadrupled to 592 million. The primary goal of this study is to create prediction model using the supplied medical data of diabetic and non-diabetic patients. The goal of this research is to develop hybrid model that clinicians may utilize to treat diabetes patients. Key characteristics such as Pregnancies, Glucose, Blood Pressure, Skin Thickness, Insulin, BMI, Diabetes Pedigree Function and Age were initially picked using the PIMA Indian Diabetes Dataset to build the prediction model. The dataset was divided into two sections: training and testing. Based on these data, we next used a random forest machine learning algorithm to predict whether the patient will be normal (non-diabetic), or diabetic.

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15. Robotic Devices with Artificial Intelligence

AUTHOR NAME : Prof. Uvaraj V. Mane, Prof. Satchidanad S. Choure

ABSTRACT : Today, robotics covered a broad sector of economic activities from the automotive and electronics industries. Up to now, however, robot automation technologies have mainly been deployed in large-volume manufacturing, which results in costly and complex robot systems, which often cannot be used in small and medium-sized manufacturing. New branches of robot automation that emerge nowadays such as food, logistics, recycling, etc. require new designs of robot systems. This paper gives a short introduction to the basics of robotics in the field of Artificial Intelligence. It also gives an overview of the robotic history, some basic problems encountered in modern robotics, and possible solutions to those problems. The problems introduced are perception, basic pose description, transition and sensor models, localization as a special case of perception (Monte Carlo Localization), representation of the environment (workspace and configuration space), path planning (cell decomposition, skeletonization, Voronoi diagrams), movement of robots, and some real-life examples.

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16. Association Rule Mining Using Genetic Algorithm

AUTHOR NAME : Devyani Parate, Bharti Shende, Tinal Ganeshkar, Pratiksha Meshram, Megha Gaikwad, Tejasvi Moon

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17. Solar Based Smart Irrigation System Using IOT

AUTHOR NAME : Kajal Kharole, Kalyani Ekare, Aditi Yenurkar, Jitendra Kapse, Ketan Raut, Prof. Kushal Masarkar

ABSTRACT : The solar panel is used in our project to utilize the renewable energy which acts as an uninterruptable power sources. the battery is used to store the energy from the solar panel via charge controller (MPPT). the soil moisture sensor and the humidity sensors are used to monitor the moisture content of the soil and also the temperature and humidity of the surroundings. the dc pump can be controlled automatically (switched on/off) by the Arduino, ethernet shield and relay, based on the soil moisture and the temperature level. these data and the condition of the dc pump are sent to the blynk android app to monitor the farms and lands by simply login to our account, and the condition of the dc pump is also notified to the user email with the help of internet connections by using Arduino and ethernet shield. in image processing technique the health condition of the crop is intimated to the user with the help of raspberry pi and webcam. the raspberry pi captures the images of the crops and checks the images of the crops to detect its health condition whether it is infected or in healthy condition.

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18. Remote Healthcare Monitoring System Using IOT

AUTHOR NAME : Rohit Bhutada, Prem Karale, Prof. Ms. Krutika Sapkal

ABSTRACT : The recent advancements in technology and the availability of the Internet make it possible to connect various devices that can communicate with each other and share data. The Internet of Things (IoT) is a new concept that allows users to connect various sensors and smart devices to collect real-time data from the environment. In hospitals, continuous monitoring is needed for heart attacks, after major/minor operations, temperature-related illness, and physical disorders. But the 24x7 monitoring of patients is difficult and also leads to high costs. Of many chronic illnesses hypertension has become common yet a serious disease that remains the root cause of major cardiac mortality and stroke mortality. This paper proposed a low-cost and easy-to-use remote healthcare monitoring system for hypertensive patients based on IoT. A bio-signal sensor and a microcontroller are the major components of the system. The data has been collected by the bio-signal sensor and is transmitted to an intelligent server. The IoT system can monitor the location of the patient. The proposed system consists of a body sensor network that is used to measure and collect Physiological data of the patient. In case of an emergency, the caretaker and doctor are intimated through a short message service for providing adequate help.

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19. Network Intrusion Detection Over the Big Data

AUTHOR NAME : Ashish Kokate, Prof. Thamraj Ghorsad

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20. Web Conferencing Application

AUTHOR NAME : Shahroof Raza, Soheb Khan, Tejas Lade, Vaibhav Rewatkar, Varun Hedaoo, Swapnil Yadav, Prof. Sayed Rehan

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21. Diagnosis of Brain Tumor from MRI Images Using Machine Learning

AUTHOR NAME : Pooja J. Shinde, Prachi V. Kale

ABSTRACT : The brain is the regulatory unit in the human body. It controls the functions such as memory, vision, hearing, knowledge, personality, problem-solving, etc. The main reason for brain tumors is the abandoned progress of brain cells. Many health organizations have recognized brain tumors as the second foremost dispute that causes a large number of human deaths all around the world. Identification of brain tumors at a premature stage offers an opportunity for effective medical treatment. The use of Magnetic Resonance Imaging images has been recognized as more detailed and more consistent images when compared to Computed Tomography images. There are various techniques to detect brain tumors or neoplasms. The most competent and effective algorithms are discussed in this paper after studying a number of appropriate research papers. Preprocessing brain images, segmenting them, feature extraction, clustering, and detection of the tumor are the methodologies in most research.

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22. Design And Development of Inbuilt Car Jack System

AUTHOR NAME : Shreenivas Ghanti, Avishkar Pol, Samkit Bhatewara, Prof. Bhushan Karamkar

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23. Analysis And Faults Detection of Three Phase Transmission Line

AUTHOR NAME : Bhagyashri G. Rewatkar, Ankita Bagde, Chaitanya Meshram, Sakshi Gawarle, Karisha Dodake, Darshan Zode, Prof. Bhagyashree Hadke

ABSTRACT : The electrical substation which supplies the power to the consumer, have failures due to some fault which can be temporary or permanent. These faults lead to substantial damage to the power system. The faults might be LL, LG, over voltage in the supply system and these faults can affect the power system. To overcome this problem a system is built, which can sense these faults automatically using microcontroller. For power to be useful in a home or business; it comes off the power station and is optocoupler to the suitable level of voltage. It is the transformers that step up the voltages or step down the voltages according to consumer’s requirement. We can say that Transformer plays important role in our Power System. To maintain reliability in power system it important to protect the 3 phase devices like inductive, resistive, etc. against various faults occurring in it. This fault should be identified and analyzed quickly for their remedies. The aim of our project is to study and implement various fault detection technique and monitoring system.

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24. Wireless Power Transmission

AUTHOR NAME : Chetan Matkar, Yashashree Shrivastav, Dishant Chavhan, Ganesh Nale, Prof. Ekeshwari A. Rangari

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25. LPG Leakage Detection Using Arduino and GSM Module

AUTHOR NAME : Kiran Kamble, Mohanish Apturkar, Nihar Tijare, Vikrant Bhagwat, Prof. Ekeshwari A. Rangari

ABSTRACT : Gas Leakage in open or closed areas can prove to be dangerous and lethal. The traditional Gas Leakage Detector Systems though have great precision, fail to acknowledge a few factors in the field of alerting the people about the leakage. Therefore, for the sake of lives safety and fulfillment of social duties, and keeping in focus the life-threatening instances of blasts and injuries due to leakage of gas in industries, vehicles, and houses, a gas leakage system has been designed whereby the application of embedded systems is involved in it. The proposed low-cost project uses an MQ-135 gas sensor which can be calibrated to detect gas leakage levels based on ambiance. MQ-135 gas sensors are generally used to detect or measure the presence of gases like LPG and butane. An Arduino is used to control all the components. Once the proposed gas leakage system is installed, it generates an identifiable buzzing sound alert using a buzzer after detecting the gas leakage. Also, an alert message is sent to authorize person through the SMS with the help of the GSM module. Along with this LCD will display the message of leak detected. The requirement of a gas detection system is not only to monitor continuously but also to prevent gas leakage hence minimizing the chances of fire and damage.

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26. Smart Energy Meter For Power Theft Identification and Power Monitoring Using Arduino

AUTHOR NAME : Amruta G. Deshmukh, Nitesh R. Chavhan, Tejas S. Mithe, Komal V. Chavhan, Prof. Ekeshwari A. Rangari

ABSTRACT : Nowadays electricity thefts are increasing day by day at domestic as well as industrial levels which make a huge economic loss for the electricity department and our country also. There are several methods for power theft like meter tampering, stopping the meter reading i.e., falsifying meter gear parts. We also have several ways for detecting power theft, but the detection should be done manually which is not possible every time. So, we came up with a solution where power theft can be easily monitored. The project aims to design a power monitoring system by measuring the load. This system is also used to communicate the theft information to the electricity board via an IOT application called IoT application. The whole network is mainly concentrated on Arduino Interfacing with LCD, current sensor, and ADC. The Arduino is used to detect power theft and pass the information about the theft to IoT which internally sends information to the electricity board.

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27. Face Recognition Security System using Raspberry Pi

AUTHOR NAME : Suraj R. Ade, Chaitanya K. Turwile, Punam V. Bhagat, Payal P. Patil, Dr. Vijay G. Neve

ABSTRACT : The home and industries security system and for the automation has become vital for every kind house and industries. Previously, most doors can be open by using traditional ways, such as keys, security cards, password or pattern. However, incidents such as a key loss have led to much worrying cases such as robbery and identity fraud. This has become a significant issue. To overcome this problem, face recognition using deep learning technique was introduced and Internet of Thing (IoT) also been used to perform efficient door access control system. Raspberry Pi is a programmable small computer board and used as the main controller for face recognition, youth system and locking system. The camera is used to capture images of the person in front of the door. IoT system enables the user to control the door access.

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28. Development of Over Voltage and Under Voltage Protection System Using Arduino

AUTHOR NAME : Mohan Kumar, Om Wairagade, Tushar Mulye, Vaishali Gothamare, Gaurav Upase, Govind Kumar, Prof. Mrinal Ranjan

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29. Web based Dynamic Information System

AUTHOR NAME : Mohammad Uzair Ansari, Ummehani Ratlamwala, Shravani Raut, Prajakta Ikhar, Neha Afreen Sheikh

ABSTRACT : The Web-Based Dynamic Management Information System is nothing but the MIS system of the National Institute of Technical and Management Studies (NITMS) which is situated in Nagpur. The main objective behind this paper is to provide all-time access to every possible requirement of the institute that has been on the site and to the users/students for their needs. The main admin panel can only be accessed by the owner (i.e., Institute) through an internet connection. Along with the Management System, there is a website that is globally present for everyone especially students, and also for those who are interested in taking admission to this institute. A beautiful and user-friendly website is available on the internet from where people can get all the information about the institute. The enrolled students can also access their details through the website, and also check their results too. With the help of this application, it becomes very easy to manage data.

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30. DeepFake Detection Using Inception-ResNet-v2

AUTHOR NAME : Dr. A. S. Manekar, Anand Wankhade, Aman Surkar, Pranjali Pande, Kunal Nemade

ABSTRACT : Control of pictures, recordings, and sounds utilizing face alter applications and web administrations have been being used, for quite a long time yet ongoing progress in deep learning have prompted AI-produced counterfeit pictures and recordings with traded faces, lip-adjusted sounds prominently known as Deepfakes. Deepfakes are created primarily using one of the following two methodologies: Autoencoders and Generator Adversarial Networks, both of which are based on pretrained deep neural networks. The level of authenticity accomplished by deep learning controlled deepfakes increments with expanding measures of information i.e., counterfeit pictures and recordings promptly accessible on the web at removal to prepare GANs. Deepfake algorithms make media leaving an uncovered edge of distinction between the true or unique source and the manufactured or deepfake objects. In this way, new systems and methods to distinguish through such deepfakes are the need of great importance. The methodology proposed based upon strong deep learning-based CNN designs to be specific, Inception-Resnet-V2 for recognizing the deepfakes. Our proposed approach not just surpasses the current methodologies regarding effectiveness and precision yet additionally offers the best concerning the given existence intricacy.

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31. Predictive Web Portal for Indian Students to Apply for Higher Education at Foreign Universities

AUTHOR NAME : Muskan Bhagat, Hritik Kahalkar, Siddhant Gupta, Rohit Salampuriya, Prof. Sagar Padiya

ABSTRACT : The fundamental issue for understudies who need to apply to colleges in the USA for additional examinations is that they dont have the foggiest idea, of which college suits their profile and which college they ought to target. The principal issue for understudies who need to apply to colleges in the USA for additional examinations is that they dont have the foggiest idea, of which college suits their profile and which college they ought to target. We intend to have a choice page (admits and rejects), a college search page (a rundown of the multitude of colleges and their data, for example, college joins, necessities, application charges, school expenses, and so on), and a segment that will assist understudies with interfacing with different understudies. It intends to convey significantly more as we develop. At GetAdmit, our only object is to make a web application that could take special care of the relative multitude of necessities of a hopeful understudy who needs to concentrate abroad.

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32. No-Code Admin Panel

AUTHOR NAME : Khushbu Kezarkar, Mohammad Faizan Sheikh, Nida Afreen, Shabbir Karanjawala, Sharayu Chimankar, Prof. Imteyaz Shahzad

ABSTRACT : The revolution of No-Code has brought about simplicity when it comes to developing mobile apps, websites & databases. We have created a” No-code Platform for creating admin panel” which helps users to create admin panel without any need for coding it helps users to manage data thoroughly our platform also saves the time of the admin to make the admin panel for the management of the persons database. The platform also provides a variety of templates to choose. Templates help Admin to manage data in the format he wants it to be. The platform makes the process of making the admin panel seamless and it’s a time saver. The process of making the admin panel is very simple once the user is done with making his database all need to do is signup to our portal and enter his database credentials after that the user has to choose the template as per his choice and within no time his admin panel will be ready after the admin panel is ready the user will be provided with code in the form .zip file after that user can continue to customize his data as per his need.

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33. Restaurant Finances and Accounting Software

AUTHOR NAME : Samiksha Khandait, Rutuja Wanjari, Nitiksha Nitnaware, Prof. V. Gedam

ABSTRACT : Restaurant Finances and Accounting Software System (RFAS) is a desktop application to restaurant management. It has all the features of the rapid involving science and its different attributes. Through a strategic design and customer orientation, RFAS technology is integrated and has been created to optimize the work force and streamline restaurant work flow. It can run on a tablet, and is both scalable and modular to meet the needs of any establishment. RFAS is an effort to bring technology into the dining menu of customers. RFAS offer robust features that not only help your restaurant to update the menu any time but also improve the overall dining experience. The tablet menu is to provide a user-friendly interface by offering smooth navigation and browsing through digital menu thus providing a delightful experience. The customers can order the food, through that tablet interface. Our project aims to not only improve the business of restaurants but also to incorporate the essence of science in dining menu. Our future-ready restaurant management software is designed to keep track of everything that goes inside the restaurant, and everything is permission based to avoid theft.

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34. Implementation of Plant Leaf Diseases Recognition by Image processing using Machine Learning

AUTHOR NAME : Prasad W. Bhombe, Dr. Shirish V. Pattalwar

ABSTRACT : In a developing country like India agriculture plays a noteworthy role. Agricultural intervention in the livelihood of rural India indulges by about 58%. Among the agricultural products, orange is one of the most used crops. Thus, preventing significant loss in quantity and yield of oranges is majorly dependent on the recognition and classification of diseases an orange plant leaf might possess. Initially, the leaves of an orange plant leaf get affected, when the plant develops a particular type of disease. In this research, four consecutive stages are used to discover the type of disease. The four stages include pre-processing, leaf segmentation, feature extraction, and classification. To remove the noise, we are doing the pre-processing and to part the affected or damaged area of the leaf, image segmentation is used. The Ensemble Bagging Classifier algorithm, which is a guided, supervised and advanced machine learning algorithm, is implemented to find solutions for both the problems related to classification and regression. During the terminal stage, the user is recommended the treatment. Mostly live plants are adversely affected by the diseases. This paper imparts a representation of leaf disease detection employing image processing that can identify drawbacks in orange plant leaf plants from images, based on color, bound, and texture to give brisk and reliable results to the farmer.

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35. Pneumonia Detection Using X-Ray Images Based on Machine Learning and Deep Learning Techniques – A Survey

AUTHOR NAME : Yogesh Futane, Dr. C. N. Deshmukh

ABSTRACT : Artificial intelligence has proven to be an effective way in the detection of many diseases. This study presents a survey of artificial intelligence techniques used in the detection, classification, and visualization of pneumonia disease in lungs using radiographs of the chest. In this survey, different reliable databases were searched including research gate, Applied sciences, and IEEE. Pneumonia is a fatal sort of malady on the off chance that truly couldnt care less. If diagnose cannot be done in its early stages can be responsible for 50000 deaths every year. There are two kinds of pneumonia: viral and bacterial. Many researchers have done their research for the identification of pneumonia using machine learning and deep learning methods. This study gives you an overview of the machine learning methods proposed previously for pneumonia detection. The review is structured based on machine learning methods using chest x-ray images for the early identification of pneumonia.

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36. Design and Implementation of Water Extraction

AUTHOR NAME : Prof. Nilesh Pathare, Sahil Rawat, Shakti Chauhan, Divesh Khandekar, Aditya Pohane, Pratik Meshram, Kunal Nandkar

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37. Solar Power Battery Charging with Reverse Current Protection

AUTHOR NAME : Prof. P.S. Wankhade, Mr. S. D. Ramteke, Miss. P. A. Parbat, Mr. K. D. Raut, Mr. V. R. Kapate

ABSTRACT : The solar mobile charger with reverse current protection is the subject of this research. It was created to fulfill the increased need for the power supply required to keep our cell phone batteries charged and safe. A solar cell phone battery charger is an electrical gadget that uses the photovoltaic effect to transform light energy directly into electricity. It accomplishes this by the use of a solar panel, which is a type of photoelectric cell that can generate and sustain an electric current without being connected to any external voltage source when exposed to ultraviolet light. This paper aims to build a solar cell phone battery charger system that can receive 12V dc from a solar panel and convert it to a level that is safe for the cell phone battery (5V) while also protecting the phone from reverse current.

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38. Analysis And Prediction of Liver Cirrhosis Using Machine Learning

AUTHOR NAME : Ms. M. G. Muthal, Dr. A. B. Gadicha

ABSTRACT : The death rate in India is high due to Liver Cirrhosis as a result of a bad lifestyle, storage of food, uncontrolled blood sugar, obesity, smoking, consumption of alcohol, and inhaling of harmful gases. Earlier detection can reduce death rates and it also helps the doctors to give the proper treatment to the patients. The liver Cirrhosis datasets are analyzed by using Machine learning algorithms for accurate disease diagnosis. This paper proposed the four machine learning models such as SVM, Random Forest, Decision Tree, and Naive Bayes for analysis and prediction of liver cirrhosis. This work gathers 200 pictures of two separate classes, i.e., healthy liver, and unhealthy liver, using an image source. This image source is MedPix1, a free open-access archive of digital photographs that medical schools, medical practitioners, and academics can use. The methodology actually has a good result for the various classifiers but still can be improved. It is found that the Support vector machine and random forest classifiers give a 100% classification accuracy score followed by decision trees which are 84.61. The results achieved are relatively good when compared.

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39. Study On Tunnling Works in Mumbai MML-3

AUTHOR NAME : Manoj Supekar, Sakshi Nimakar, Poras Kawale, Manasvi Dongre, Nalini Nagpure, Prof. Gopal. Dhanjode

ABSTRACT : The growing demand for public transport in cities has serious effects on the urban ecosystem especially due to increased atmospheric pollution and changes in land-use patterns. This project report presents the work related to the implementation of such an ongoing transport system of MUMBAI CITY that focuses on the construction of the underground Metro Tunnelling project, also referred to as Colaba-Bandra-SEEPZ Line. The present research contributes to the engineering sector and, thus, engineering education by providing the methodology of a feasibility study for railway projects, which balances social, environmental, and economic aspects. The elements that comprise the factors that further improve the quality of a rail project, as well as probable parameters which increase the rail use are examined. The second key part of this article refers to the application of this methodology based on a case study of the MUMBAI Metro Tunneling railway. From the study, we have compared the Standard Norms provided for NATM, TBM, and the method for the field construction as per IS code.

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40. Discovering the Potential of Organic Material in Architecture

AUTHOR NAME : Sakshi R. Dahake, Prof. Chinmay Burange

ABSTRACT : Indonesia is abundant with natural resources in the form of organic materials from the earth and floral ecosystem. Based on natural resources, Indonesia’s buildings are built using the organic materials from their surrounding area, such as woods, palm trees, bamboos and rattans that can be used as architectural elements. The organic material reflects the architectural development in Indonesia, starting with a single raw material via the joining of different building parts up to the finished building. It also visualizes the identity which will be presented with local wisdom from the knowledge and the ideas. This paper aims to identify main organic materials in Indonesia regarding the physical properties and aesthetic values that are encountered by human senses. Materiality acknowledges as a flux that is passing processes of continual transformation; it is commonly called “thinginess” or “woodiness”. Furthermore, it encompasses three components, medium, substance, and surfaces, which are not separated or dominant from nature; it is built as a unified whole. This study proposes an idea to give impacts of the build environments on traditional and contemporary design. By adopting a sustainability approach to organic material selection and specification extends the inspiration in the design stage of the building process.

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41. Safety Measures and Security Features in Building: Case Study

AUTHOR NAME : Mayur M. Kale, Prof. Chinmay Burange

ABSTRACT : Keen Buildings are systems of associated gadgets and computer programs in charge of consequently overseeing and controlling a few building capacities such as HVAC, fire cautions, lighting, shading, and more. These frameworks advanced from generally electronic and mechanical components to complex frameworks depending on IT and remote innovations and systems. This uncovered shrewd buildings to unused dangers and dangers that have to be listed and tended to. Investigate endeavors have been tired a few regions related to security in shrewd buildings but a clear outline of the inquires about the field is lost. In this paper, we show the comes about of a precise writing survey that gives a careful understanding of the state of the craftsmanship in investigating the security of keen buildings. We found that the field of savvy building security is developing altogether in complexity due to the numerous conventions presented as of late which the inquiry about community is now considering.

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42. Study of Maharashtra Tribal Architecture

AUTHOR NAME : Poonam K. Thakur, Prof. Palash Agrawal

ABSTRACT : Today, a world in a state of environmental degradation where a thought with its step is welcome to make usage of appropriate materials and related technology is. Tribal is a community of people at the worlds level who are contributing major in terms of appropriate materials usage and technology thereof helping in environmental protection. Gonds are the Tribal from the Gadchiroli region of Vidarbha, Maharashtra belonging to the central zone of India. Gond Tribal is continuing its specific type of Art, Culture, and Architecture related to materials available locally along with the usage of its appropriate technology. This paper is an attempt to study the Vidarbhas Tribal Art, Culture, and Architecture in terms of appropriateness to the level of being Environment-Friendly Art and Architecture.

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43. Detection and Prediction of Skin Cancer based on Machine Learning

AUTHOR NAME : Nilesh S. Jadhao, Dr. Ms. S. W. Ahmed

ABSTRACT : Statistical evidence suggests that skin related deaths were most in number compared to those resulting from other types of skin cancer. However, detection of skin cancer in its early stages is extremely challenging to doctors since as they say cancer is skin-deep. Wrong diagnosis of the disease due to inaccurate methods has prompted study in this field for a while since malignant melanoma implies asymmetrical and irregular borders, notched edges and color variations. Hence, it is extremely vital to analyse each characteristic of the lesion like shape, colour and texture early detection and prevention. In this study, effective detection of skin cancer detection is proposed. Four features are chosen that are trained and tested by using various classification techniques like K-Nearest Neighbor, Decision Tree, Naive Bayes, Random Forest, and XGBoost have been done. The methodology actually has a good result for the various classifiers but still can be improved. The result discusses that XGBoost is a better classifier than K-Nearest Neighbor, Decision Tree, Naive Bayes, Random Forest has the highest accuracy of 68.75%. The results achieved are relatively good when compared. The future work will focus on improving the number of features selected and then classified to improve the accuracy.

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