BinSense Waste Analytics
Outcome
Still in development, BinSense is a waste management system that uses AI to analyze waste metrics, such as waste generation in tonnes, and categorize waste into different types, including e-waste, toxic waste, wet waste, and dry waste.
BinSense is a waste management system that uses AI to analyze waste metrics, such as waste generation in tonnes, and categorize waste into different types, including e-waste, toxic waste, wet waste, and dry waste.
This platform plans on integrating with IoT waste bins that capture images of disposed waste, which are then analyzed using machine learning models to classify and segregate waste automatically.
The goal of BinSense is to provide real-time waste tracking, automate segregation, and optimize waste disposal for organizations, ultimately reducing landfill waste and enhancing sustainability practices.
Key features
- AI-Powered Waste Classification : Uses LLMs to analyze and categorize waste into different types.
- IoT Integration : Connects with smart waste bins to automate data collection and segregation.
- Real-Time Waste Tracking : Monitors waste generation and categorization through a user-friendly dashboard.
- Automated Reports : Generates detailed reports on waste management trends and efficiency.
Technologies used
- Next.js : Used as the frontend framework for building the web dashboard.
- ShadCN : Utilized for crafting a seamless and intuitive UI experience.
- Supabase : Stores and manages waste data efficiently in a structured format.
- Gemini AI : Powers the AI-driven waste classification and analysis.