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Design and Development of a Semi-Automated System for Food Waste Disposal and Management

Waste accumulation in multi-tap sink systems causes clogging that disturbs operations in commercial kitchens, hospitals, schools, and industrial buildings. Waste particles gather in sloped disposals, resulting in water stagnation and manual cleaning needed, which inefficiencies and hygienic issues follow from. Constant operation is guaranteed by an automated waste separation system comprising a perforated conveyor belt with a wind-up mechanism and torsional spring. As water runs over the conveyor, solid waste gets caught and allows seamless drainage. By guiding collected waste into a disposal tank, a tapped sheet keeps sink operation free from blockages. By means of a more affordable and low-maintenance substitute for hand waste disposal, this method lowers human effort, improves hygiene, and minimizes operating downtime. Good waste management guarantees continuous sink use in high demand, reduces food waste, and guarantees hygiene environments. Automated operation offers a logical replacement for conventional waste disposal methods in commercial and industrial settings, promoting sustainability and operational effectiveness.

Published by: Jai Harish D, Tamilarasu K, Vinayaga Moorthi M A

Author: Jai Harish D

Paper ID: V11I1-1553

Paper Status: published

Published: April 12, 2025

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Research Paper

CropVion: A VGG16-based Convolutional Approach for Plant Disease Detection

This project focuses on developing a machine learning-based system for detecting plant diseases, providing valuable support to farmers, botanists, and researchers. The aim is to improve agricultural productivity and research efforts through automated plant health monitoring. The solution includes a user-friendly and responsive interface built with Streamlit, a Python framework that facilitates the creation of web applications, enabling efficient interaction for users, whether they are in farming or research. The system leverages Convolutional Neural Networks (CNN) with a fine-tuned VGG16 pre-trained model, utilizing transfer learning to accurately classify plant diseases based on leaf imagery. A diverse dataset of plant diseases is used for training, with advanced image preprocessing techniques applied to improve classification accuracy. This solution ensures a scalable, precise, and user-friendly method for disease detection, facilitating seamless adoption into modern agricultural workflows.

Published by: Rishika Gazula, Asiya Jamadar, Avinash Shinde, Gauri Bilaye

Author: Rishika Gazula

Paper ID: V11I2-1138

Paper Status: published

Published: April 12, 2025

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Research Paper

Ai-Driven Vibebox: Adaptive Music Streaming Personalized Based on Emotion

Music recommendation systems play a crucial role in addressing the challenges of information overload and personalization in the digital music landscape. This paper presents the implementation and contribution of a novel music recommendation system that aims to enhance the user experience and overcome the limitations of existing approaches. The AI-Driven VibeBox: Adaptive Music Streaming personalized based on Emotion provides an overview of the project's architecture, methodology, and key findings, highlighting its contributions to music recommendation systems. The exponential growth of digital music platforms has led to an overwhelming abundance of music content, making it increasingly difficult for users to discover and explore new music that aligns with their preferences. Music recommendation systems have emerged as a vital tool to address this challenge, leveraging various techniques to provide personalized suggestions and enhance the user experience. MoodSync Vibebox is a music recommendation system that seeks to advance the state-of-the-art in this domain. This review paper aims to critically analyze the project's methodology, findings, and contributions, while also situating it within the broader context of music recommendation system research.

Published by: Dr. M.K. Jayanthi Kannan, Anirudh Kanwar, Harsh Chaturvedi, Aditya R Patil, Abhimaan Yadav

Author: Dr. M.K. Jayanthi Kannan

Paper ID: V11I2-1171

Paper Status: published

Published: April 12, 2025

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Research Paper

Crumb Rubber used in Pavement Design

Pavement design is a critical process in the construction of road infrastructure, aimed at creating durable, cost-effective, and sustainable surfaces that can withstand traffic loads, environmental conditions, and wear over time. The design methodology involves several factors, including traffic load, climate, soil properties, material selection, and the type of pavement (flexible or rigid). Traditional pavement design methods such as empirical approaches (e.g., AASHTO) rely on established guidelines and field data, while more advanced techniques, such as mechanistic-empirical methods, integrate both mechanical analysis and field performance data for a more accurate prediction of pavement behavior.

Published by: Lavanya Santosh Rokade, Manasi Shubhas Fulare, Srushti Kishor Salve, Saburi Shashikant Shivan, Suraj Surve

Author: Lavanya Santosh Rokade

Paper ID: V11I2-1188

Paper Status: published

Published: April 12, 2025

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Research Paper

Energy Harvesting Poles: Harnessing Piezoelectric Power for Sustainable Infrastructure

The integration of piezoelectric poles in road infrastructure presents a promising avenue for sustainable energy generation and smart infrastructure development. Piezoelectric materials, which generate electrical energy when subjected to mechanical stress or pressure, can be embedded in road poles to harness the energy from vehicles passing by. These poles can convert the vibrations and pressure created by traffic into usable electrical energy, which can then be utilized to power streetlights, traffic signals or even be stored for future use. The potential for reducing dependency on traditional energy sources while improving the functionality and sustainability of roadways is substantial. Furthermore, piezoelectric poles can contribute to the development of smart roads, integrating sensors and communication systems that enhance traffic management and safety. This paper explores the feasibility, design, and applications of piezoelectric poles on roads, evaluating their potential environmental and economic benefits, as well as the challenges in scaling this technology for widespread use in modern transportation networks.

Published by: Ansh Mahadik, Aditi Gavand, Vivek Magar, Harashad Dhandar, Chaitali Bagul

Author: Ansh Mahadik

Paper ID: V11I2-1189

Paper Status: published

Published: April 12, 2025

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Research Paper

APPROCHE D’EFFICACITÉ ÉNERGÉTIQUE POUR OPTIMISER LES COÛTS DE PRODUCTION DES ENTREPRISES INDUSTRIELLES

Madagascar est une île de la côte orientale de l'Afrique qui possède de nombreuses ressources minières. Une société minière comme Ambatovy a décidé d'explorer le nickel et le cobalt dans ce pays et elle était confrontée à un problème de crise financière et de compétitivité sur le marché du nickel du LME. Le prix du nickel a diminué en raison du surstock de China Nickel. Pour éviter des mesures drastiques telles que des licenciements, l'entreprise a appliqué une nouvelle stratégie de réduction des coûts de production. Le secteur de l'énergie est l'un des secteurs les plus précieux qui peuvent bénéficier d'économies significatives s'il est bien optimisé. L'efficacité énergétique ou économie d'énergie a été mise en place afin d'optimiser la consommation et l'approvisionnement en énergie dans cette entreprise. Conformément à la norme AQME2011, Ambatovy utilise le modèle 3R de clés d'efficacité énergétique : -Réduction à la source : le comportement de l'utilisateur final doit s'aligner sur cette politique et mettre en place le FMS (Procédure de gestion du carburant), négocier le coût du contrat avec le fournisseur de carburant à Madagascar.-Récupération : continuez à utiliser ce que nous avons encore en moteur, stock bien optimisé et remplacement : Ambatovy a remplacé tous les bus à l'intérieur du site de l'usine par des bus et des véhicules électriques (tuctuc), cela peut économiser plus de 35 % des coûts quotidiennement car cela permet à l'entreprise arrêter le loyer, réduire les coûts de maintenance et récupérer la surproduction de la centrale électrique d'Ambatovy. Cette optimisation de la gestion de l'énergie permet à l'entreprise de réduire les coûts de production, d'éliminer les déchets et d'utiliser des véhicules solaires et électriques qui sont plus propres et respectueux de l'environnement.

Published by: Georges SOLOFOSON, Daudet Evariste ZELY, Herilalaina Fabien RANDRIANASOLO, Cyprien ZARALAHY, Holy Nivosoa RAKOTOMALALA

Author: Georges SOLOFOSON

Paper ID: V10I5-1296

Paper Status: published

Published: April 10, 2025

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