Smart automation using Modern AI powered technology

Project about AI

1. SMART HOME WASTE SEGREGATION SOLUTIONS SMART INDIA HACKATHON 2024 Problem Statement ID – SIH1592 Problem Statement Title – Student Innovation Theme – Clean & Green Technology PS Category - Software Team ID - Team Name (Registered on portal ) – Green Tech

2. Smart Home Waste Segregation Solutions 2 @SIH Idea submission Green Tech Proposed Solution : Design: Install multiple bins labeled for recyclables, compost, and general waste, each equipped with smart sensors. Functionality: Sensors identify the type of waste deposited and provide instant feedback via a mobile app, guiding users to correct disposal practices.

3. TECHNICAL APPROACH 3 @SIH Idea submission Smart Bin Design: Sensor Integration: Use RFID or optical sensors to identify the type of waste (recyclable, compost, general). Weight sensors to monitor fill levels and alert users via the app. Green Tech Mobile Application Development: Design a user-friendly interface that allows easy navigation. Include features like tutorials, local recycling guidelines, and tips.

4. FEASIBILITY AND VIABILITY 4 @SIH Idea submission Green Tech Technical Feasibility : Smart waste segregation solutions leverage IoT sensors, AI-powered sorting, and mobile apps, making them technically feasible with current technology. 2. Economic Feasibility : Initial investment costs for smart waste segregation systems may be higher than traditional methods, but long-term benefits (reduced waste disposal costs, increased recycling rates) can offset expenses.

5. IMPACT AND BENEFITS Environmental Impact: Reduced Greenhouse Gas Emissions: 15-20% decrease in GHG emissions from waste management. Conservation of Natural Resources: Recycling saves 70-90% of raw materials . 5 @SIH Idea submission Green Tech Environmental Benefits: Increased Recycling Rates: Accurate sorting and separation lead to higher recycling rates. Reduced Landfill Waste: Smart segregation minimizes waste sent to landfills.

6. RESEARCH AND REFERENCES Research Studies: "Smart Waste Management in Smart Homes" (2022) - Research Study by International Solid Waste Association. "Waste Segregation Behavior in Smart Homes" (2021) - Research Study by University of California. "Assessing the Effectiveness of Smart Waste Segregation Systems" (2020) - Research Study by European Environment Agency. "Smart Waste Management in Urban Areas" (2019) - Research Study by World Health Organization. " IoT -based Waste Management in Smart Cities" (2018) - Research Study by National Institute of Urban Affairs. 6 @SIH Idea submission Green Tech