EcoNova+: An AI-Powered Web-Based E- Waste Repair and Green Shopping Advisor with Lifecycle Tracking

Authors

  • Vivekanandan V,Rajyaa shree N V, Raveena R, Sruthy R, Vishnu Prabhu G Author

DOI:

https://doi.org/10.7492/hetegy77

Abstract

 Right now, the world is facing a serious challenge with the rapid increase in electronic waste (e-waste). Only 22.3% of 62 million tonnes have been recycled in those 62 million tonnes approximately one third 20 million tonnes of e-waste comes from household equipments. Studies indicates that both extending lifespan of device and greater collection for repair and reuse can reduce e-waste landfilling significantly. Many people throw away devices that could be repaired or reused this leads to major environmental problems. Lack of awareness causes improper use of sustainable products. EcoNova+ is an AI- powered web-based platform designed to overcome this issue by promoting smarter and more sustainable use of electronics. The system works as a repair advisor, which guiding users to fix their old gadgets, find nearby repair centers and a green shopping assistant, which helps to choose eco-friendly products when buying new ones. It also includes a lifecycle tracking feature that helps users monitor their electronic devices which have been in use, and when they might need a maintenance it helps them by notifying it. By combining artificial intelligence and cloud technologies, EcoNova+ makes electronic device management more efficient and accessible. Using machine learning algorithms, the platform analyzes product data, repair options, and environmental ratings to give users personalized recommendations. Ultimately, EcoNova+ aims to encourage sustainable consumer habits in sustainable shopping, reduce electronic waste, and support the global move toward a green society, showing how AI can help technology, sustainability, and consumer responsibility to build a greener digital future.

Downloads

Published

1990-2026

Issue

Section

Articles

How to Cite

EcoNova+: An AI-Powered Web-Based E- Waste Repair and Green Shopping Advisor with Lifecycle Tracking. (2026). MSW Management Journal, 36(1), 3051-3055. https://doi.org/10.7492/hetegy77