♻️ IntelliWaste - Agentic Smart Waste Management System

🤖 An intelligent multi-agent system that revolutionizes waste management using AI computer vision and large language models.

📖 About The Project

IntelliWaste is an automated waste processing system that simulates a smart recycling facility using multiple specialized AI agents. When you upload an image of waste, the system:

1. Classifies the waste type (biodegradable, non-biodegradable, e-waste, or mixed)
2. Identifies individual components and recyclable materials
3. Generates appropriate treatment protocols
4. Calculates honor scores based on recycling value
5. Sends personalized email confirmations with recycling facts

This project demonstrates how AI agents can collaborate to solve real-world environmental challenges, making waste management more efficient, educational, and engaging.

✨ Key Features

• 🧠 Multi-Agent Architecture - 4 specialized AI agents working in concert
• 🔍 Smart Classification - Identifies waste type with reasoning
• 📦 Component Detection - Breaks down complex waste into recyclable parts
• ⚙️ Treatment Protocols - Generates material-specific recycling procedures
• 📧 Automated Reports - Sends personalized emails with honor scores
• 🎮 Gamification - Earn points for proper waste disposal
• 🌍 Environmental Education - Includes fun recycling facts

🛠️ Tech Stack

• Python: Core programming language
• Frontend: Streamlit
• LLM Provider: Alibaba Cloud DashScope (Qwen-VL-Plus, Qwen-Plus)
• Qwen-VL-Plus: Vision AI for image analysis
• Qwen-Plus: Text AI for email generation
• DashScope API: Alibaba Cloud AI API
• Relay.app: Email automation & webhook
• python-dotenv" Environment variable management
• Image Processing: PIL/Pillow

⚙️ Setup

Prerequisites

• Python 3.9 or higher
• A DashScope API key (Alibaba Cloud)
• A Relay.app account (for email notifications)

Installation

1. Clone the repository

git clone https://github.com/NESHADUR/IntelliWaste.git
cd IntelliWaste

2. Create virtual environment (recommended)

python -m venv venv
venv\Scripts\activate     # Windows

3. Install dependencies

pip install -r requirements.txt

4. Set up environment variables

Create a .env file in the project root:

DASHSCOPE_API_KEY="your_dashscope_api_key_here"
RELAY_URL="your_relay_webhook_url_here"

Running the Application

streamlit run IntelliWaste_App.py

The app will open in your browser at http://localhost:8501

📱 Usage

1. Enter your email address for receiving processing confirmations
2. Upload a waste image (supports JPG, JPEG, PNG formats)
   • Examples: plastic bottles, food waste, electronic items, mixed trash
3. Click "Initiate Automated Treatment"
   • The Classifier Agent analyzes your image
   • Based on classification, specialized agents process the waste
4. Review the AI analysis:
   • Waste classification with reasoning
   • Component identification
   • Treatment protocol
   • Recycling recommendations
5. Check your email for a personalized confirmation with:
   • Honor points earned
   • Interesting recycling facts
   • Environmental impact summary

Example Waste Types

Waste Type	Examples	Points per Item
♻️ Biodegradable	Food scraps, paper, wood	10 points
🗑️ Non-biodegradable	Plastics, glass, metals	15 points
📱 E-waste	Batteries, phones, cables	25 points
🔄 Mixed	Combination of above	Varies

🤖 How the Agents Work

1. Classifier Agent

• Analyzes image and determines waste category
• Provides reasoning for classification

2. Component Identification Agent

• Lists specific items found in the waste
• Creates inventory of materials

3. Separator Agent (for mixed waste)

• Breaks down mixed waste into categories
• Counts items in each category

4. Recycling Agent

• Identifies recyclable materials
• Provides step-by-step recycling protocols
• Suggests what recycled materials become

🎯 Real-World Applications

• 🏢 Corporate waste management - Automate sorting in office buildings
• 🏫 Educational institutions - Teach students about recycling
• 🏭 Recycling facilities - Augment manual sorting processes
• 🏠 Smart homes - Help families recycle correctly

🔮 Future Roadmap

• Mobile app with camera integration
• Real-time video processing
• Carbon footprint calculation
• Blockchain-based recycling rewards
• Integration with municipal waste systems
• Multi-language support
• Historical data analytics dashboard

🙏 Acknowledgments

• Alibaba Cloud DashScope - For providing the Qwen-VL-Plus API
• Streamlit - For the amazing rapid application framework
• Relay.app - For webhook automation and email delivery
• OpenAI - For inspiring the agent-based architecture pattern

📞 Contact & Support

• Email: intelliwasteteam@gmail.com
• Project Link: https://github.com/NESHADUR/IntelliWaste