♻️ Telangana E-Waste Management Portal

An interactive, data-driven platform designed for policymakers, researchers, and environmental advocates to visualize, predict, and manage electronic waste across the state of Telangana.

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🌟 Overview

The Telangana E-Waste Management Portal serves as a comprehensive tool to tackle the growing challenge of electronic waste. By leveraging historical data (2006–2024), the application provides actionable insights into e-waste trends, economic recovery potential, and future projections.

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🚀 Key Features

• Interactive Dashboard: High-level visualization of statewide e-waste trends, recycling rates, and the estimated economic value of recoverable materials.

• Machine Learning Predictions: A dedicated forecasting engine using LinearRegression to predict e-waste generation up to the year 2040, including specific product-wise breakdowns (Mobiles, Laptops, etc.).

• District Ranking: A dynamic ranking system that identifies e-waste "hotspots" based on total generation, per capita waste, and current recycling efficiency.

• Resource Recovery Insight: Detailed analysis of the "Urban Mine"—calculating the kilograms of Gold, Copper, and other precious metals locked within the state's e-waste.

• Data-Driven Recommendations: Context-aware mitigation strategies and policy suggestions tailored to the specific needs of high-waste districts.

• Premium UI/UX: A vibrant, animated gradient background with floating "bubble" elements and custom cursors for a modern, tech-forward feel.

• Technology Stack

Frontend: Streamlit

Data Analysis: Pandas

Visualization: Plotly Express & Graph Objects

Machine Learning: Scikit-learn (Linear Regression)

Styling: Custom CSS/HTML injection for animated UI components.

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📂 Project Structure

     ├── App.py                 # Landing page and portal entry point
     ├── Dashboard.py           # Statewide metrics and trend analysis
     ├── District_Ranking.py    # Comparative district performance
     ├── Future_Prediction.py   # ML forecasting and mitigation logic
     ├── Resource_Recovery.py   # Economic and material value analysis
     ├── Recommendations.py     # Policy and short-term measure module
     ├── style.py               # Custom CSS for the animated UI
     ├── requirements.txt       # Project dependencies
     └── telangana_e_waste_...  # Core datasets

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⚙️ Installation & Usage

1. Prerequisites Ensure you have Python 3.8+ installed on your system.

2. Setup Virtual Environment (Recommended)

     python -m venv venv
     # On Windows
     venv\Scripts\activate
     # On Mac/Linux
     source venv/bin/activate
   

3. Install Dependencies

     pip install -r requirements.txt
   

4. Run the Application

     streamlit run App.py
   

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📊 Data Source

• The application utilizes the telangana_e_waste_2006_2024.csv dataset, which includes comprehensive metrics on:

• District-wise annual e-waste generation (kg).

• Population data for per-capita calculations.

• Recycling rates (%) and material-specific recovery data (Gold, Copper, etc.).

• Estimated economic value in USD.

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💡 Mitigation & Policy

The portal doesn't just show data; it suggests solutions. From Mandatory Retailer Take-Back policies for mobile phones to Refurbish for Education programs for laptops, the platform provides a roadmap for a circular economy in Telangana.

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