Authors: Professor M.D.Patil, Mr. Kumbhar Sani Anil, Mr. Dadas Swapnil Uttam

Abstract: The increasing need for automation in industries has led to the development of systems that can improve efficiency, accuracy, and reduce human involvement in repetitive tasks. This project, titled "Sorting of Metal and Non-Metal using PLC," focuses on designing an automated system that can differentiate and sort materials based on their metallic or non-metallic properties. Using a conveyor belt mechanism integrated with an inductive proximity sensor and controlled by a Delta DVP14SS2 PLC, the system detects the material type of objects and sorts them accordingly. The automation process ensures high- speed operation, consistent accuracy, and minimized errors compared to manual sorting. This project demonstrates the practical application of PLCs in industrial automation and material handling, offering a cost-effective and scalable solution suitable for small and medium-scale industries. The system is designed to be modular, allowing future expansion such as adding more sensors or integrating a vision system. It also promotes safety by reducing the need for manual intervention in hazardous working environments. The success of this project highlights the potential of automation to transform traditional material handling processes into more intelligent, reliable, and efficient systems. The implementation of such automated sorting systems can greatly benefit industries like recycling plants, manufacturing units, and quality control departments by streamlining their operations and ensuring greater precision. The integration of PLC technology not only makes the system more flexible and adaptive but also simplifies troubleshooting and future upgrades. Overall, this project sets a strong foundation for the future development of more advanced material classification and handling systems using automation and smart technologies.

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Authors: Atharv Nale, Niraj Gadewar, Piyush Sahu, Gaurav Varade, Prof. Sangita Mishra

 

 

Abstract: The main objective of project is to compare conventional Seismic analysis and lead rubber bearing system. While no structure can be entirely immune to damage from earthquakes, the goal of earthquake resistant construction is to erect structures that fare better during Seismic activity than their conventional counterparts. The installation of isolators at the base increases the flexibility of the building structures. In present study Modeling and analysis of G+10 storey RC building is done in ETBS software for two cases. The first one is fixed base and the second one is base isolated; one vertical irregular model is considered and analysis is done by equivalent static and response spectrum method. The Lead rubber bearing (LRB) is designed as per IS and UBC 97 code and the same was used for analysis of base isolation system. The results obtained from analysis were Storey displacement. Damper systems are designed and manufactured to protect integrities and structural damages and to prevent injuries. There are many techniques to make seismic resistant structure. The base isolation technique is used in this project to resist against earthquake. Lead Rubber Bearing is a new type earthquake resistance rubber bearing, formed by inserting lead core into ordinary laminated rubber bearing, vertical supporting, and horizontal displacement and hysteric damping are combined in single unit together.

DOI: http://doi.org/

 

 

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Authors: Assistant Professor DR. Ritu Jain, Anamika Rawat

Abstract: health, especially in rapidly growing cities of developing countries. Lucknow, the capital of Uttar Pradesh, India, has experienced tremendous demographic expansion over the last few decades, intensifying pressure on its sanitation systems. This paper examines the interlinked issues of population density and sanitation in Lucknow by analyzing demographic trends, urban planning limitations, infrastructure deficits, socio-economic factors, and policy responses. The study emphasizes the need for holistic urban governance, community engagement, and sustainable technological interventions to address sanitation challenges and improve urban health outcare are the keywords based on your abstract.

 

 

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Authors: Prof. Kirti Randhe, Atharva Kendale, Siddhesh Bhargude, Shantanu Thorat

 

 

Abstract: – With the proliferation of digital technologies, cyber threats have become increasingly complex, dynamic, and difficult to mitigate using traditional defense mechanisms. Artificial Intelligence (AI), encompassing machine learning (ML), deep learning (DL), and Natural Language Processing (NLP), has emerged as a transformative force in modern cyber security systems. This survey presents an in-depth exploration of how AI is revolutionizing the landscape of cyber defense. We analyze key AI techniques, their applications in intrusion detection systems (IDS), malware analysis, phishing detection, threat hunting, and anomaly detection. Additionally, the paper explores real-world deployments, benefits, challenges, and the future trajectory of AI-driven cyber security solutions. The study integrates insights from over ten recent peer-reviewed sources and proposes future research directions in explainable AI, adversarial robustness, and real-time edge-AI models.

DOI: http://doi.org/

 

 

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Authors: Vishwajeet Kadlag, Rohit Chavan, Atharva Fulware, Tejas Khirad

Abstract: Access to clean and safe drinking water remains a pressing challenge, especially in rural and developing regions. Traditional chemical coagulants like alum are effective in water treatment but can pose health risks and environmental concerns. To provide a safer and eco-friendly alternative, we explored the use of Aloe Vera as a natural coagulant for the treatment of potable water. Aloe Vera contains bioactive compounds such as polysaccharides and glycoproteins, which facilitate the coagulation process by destabilizing suspended particles. In this project, raw water samples were treated with Aloe Vera extract, and key parameters such as turbidity, pH, and microbial load were monitored. The results demonstrated significant improvement in water clarity and quality, proving that Aloe Vera is a promising natural substitute for chemical coagulants. This method offers a sustainable, non-toxic, and cost- effective solution suitable for rural communities and emergency water purification needs. By promoting the use of plant-based coagulants, the system enhances public health and environmental safety. It represents a step forward in natural water treatment technologies and supports the global move toward green chemistry.

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Authors: Dr. Deepti Varshney, Aditya Humbe, Rohan Vanjari, Nidhi Goyal, Om Hole

Abstract: The smart parking system is an advanced problem solution made to improve parking efficiency and user benefit by using sensor technology and mobile web application. The system uses components such as infrared sensors, ID UNO SMD, LCD display, 3.7 V battery, ESP 32, etc to monitor the status of parking spaces in real time. Identifying whether each slot is occupied or vacant. This data is transmitted via sensors on a user-friendly mobile web application. The data will be based on no. of parking slots available in the parking. The application provides on time updates on parking slots availability, allowing users to easily find and navigate to empty parking slot. By reducing time spent for finding parking, the system lowers fuel required and minimizes environmental impact.

 

 

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Authors: Assistant Professor Sangeeta Mohapatra, Sujay Pardeshi, Abhishek Nimbalkar, Santoshi Nelwade, Suhani Muke Divisha Patel

Abstract: Neighbourhood Connect is an innovative networking application designed to faster stronger community relationships and enhance local engagement. The application provides a digital platform for residents within a neighbourhood to connect, communicate, and collaborate on common interests and initiatives. Key features include a community bulletin board for announcements, chat functionalities for private and group discussions, an events calendar to highlight local activities, and showing availability of rooms. calendar to showcase local events, and a room availability display are some of the key features.

 

 

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Authors: Assistant Professor Manisha Wasnik, Jayraj khule, Mayur Mahajan, Tejas Gangrude, Nupur Gambhire, Riya Uchale

Abstract: The offline sale of books has been met with more and more challenges concerning market visibility, accessibility, and consumer engagement in this digitalizing world. This research proposes a mobile application to facilitate transactions between traditional book vendors and the online market, thereby raising their reach and streamlining their sales processes. The application thus provides an easy platform for the buying and selling of books, thereby creating a sustaining ecosystem for book reuse and affordability. It now bestows the vendors with utmost power in terms of modern tools and amenities to com In the ever-evolving retail space against the backdrop of storefronts, secured financial gateways, and inventory monitoring. The digital migration study thus addresses the vendors from a local perspective, operating within a paradigm of enhanced interplay within market corridors, economic engagement, and enhanced consumer experience.

 

 

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Authors: Assistant Professor Yashanjali Sisodia, Aryan Chaudhari, Ashish Bhanuse, Aman Kumar Arya, Aryan Rajpoot

Abstract: The purpose of this research paper is to create a website that will help with OPD and healthcare service management. Additional features on the website include video consultation, appointment scheduling, patient medical records, billing, and follow-up. The study assesses how well a website improves patient satisfaction, cuts down on waiting times, and eliminates needless crowding.

 

 

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Authors: Assistant Professor Yashanjali Sisodia, Suraj Doke, Kaustubh Chaure, Shivam More, Sanskar Dhayade

Abstract: The increasing demand for social interaction and entertainment has led to the development of intelligent platforms that facilitate spontaneous connections in public spaces. Our Social Meetup and Movie Booking Platform integrates location-based services, AI-driven recommendations, and secure communication to provide users with seamless social experiences. By leveraging artificial intelligence and real-time data, the platform ensures personalized meetups, enhancing social engagement while prioritizing security and privacy. Additionally, the system is designed to be user-friendly, making it accessible to individuals with varying levels of technical expertise. This paper outlines the system architecture, methodology, implementation, and ease of use of our platform.

 

 

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