Overview Dashboard

Real-time e-waste intelligence across India

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Total E-Waste (MMT)
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15
Monitored Cities
India Coverage
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Top Hotspot City
Critical Risk
22%
Avg Recycling Rate
Global avg: 17.4%

E-Waste Generation Trend

Historical & forecasted values (Million Metric Tons)

Historical Forecast

Risk Distribution

Cities by risk level

Hotspot Preview

E-waste density across India

Top Waste Cities

2024 rankings

E-Waste Forecast Engine

Adjust parameters to model national e-waste trajectory from 2010 through 2040

1.4B
50%

30-Year E-Waste Projection

2010 – 2040 • Shaded area represents forecast period

Actual / Estimated AI Forecast

GIS Hotspot Analysis

Interactive heatmap of e-waste generation density across Indian cities

Low
Critical

City Details

Click a city marker to view details

AI Prediction Engine

Input parameters to get real-time e-waste predictions powered by our ML model

Input Parameters

Low (0.1)High (0.99)

Ready to Predict

Fill in parameters and click "Run AI Prediction" to get instant results

Model Info

Algorithm Polynomial Regression (deg 2)
Features Population, Device Rate, Year
Training Data 2010–2023 (14 data points)
Confidence ±5% interval
Data Source UN/WHO e-waste Monitor

Future Scenario Simulation

Model optimistic, baseline, and pessimistic trajectories based on policy interventions

Simulation Parameters

1.2%
2.0%
20%

Scenario Comparison

MMT net e-waste after recycling recovery

Optimistic Baseline Pessimistic

Top E-Waste Cities

Ranked by projected e-waste generation volume with detailed breakdown

All 15 monitored cities
Rank City E-Waste (kt) Population (M) Device Rate Recycling Rate Risk Level Trend

City Comparison Chart

E-waste generation by city (kilotons)

Policy Recommendations Engine

AI-driven, city-specific actionable solutions based on real-time risk profiles and predictive analytics

Loading recommendations...

National Policy Framework

Recommended phased interventions for Government of India

2024–2025

Strengthen EPR Framework

Mandate Extended Producer Responsibility targets — increase from current 30% to 60% collection efficiency for all electronics manufacturers operating in India.

Estimated 12% waste reduction in formal streams
2025–2027

Urban E-Waste Collection Network

Deploy 500+ dedicated e-waste collection kiosks in top 15 cities. Partner with municipal corporations for door-to-door collection drives quarterly.

Estimated 18% increase in formal recycling rate
2027–2030

Circular Economy Transition

Establish 10 state-of-the-art e-waste processing parks. Formalize informal recycling sector with training, safety certification, and fair wages. Target 40% national formal recycling rate.

Estimated 35% overall reduction vs baseline trajectory
🏆 Hackathon Project — KIT 2026

E-Waste Intelligence System

India generates over 3.23 million metric tons of electronic waste annually — ranking 3rd globally. Yet only 22% is formally recycled, leaving toxic lead, mercury, and cadmium in landfills and unprotected waterways.

We built an AI-powered platform to predict, visualize, and guide policymakers in managing India's e-waste crisis before it becomes irreversible.

62 MMT
Global E-Waste (2022)
↑ Growing 4% annually
#3
India's Global Rank
In e-waste generation
22%
Formal Recycling Rate
vs 40% global target

The Problem

Uncontrolled Growth: India's e-waste grew 151% over the past decade, driven by rising device penetration and rapid obsolescence cycles.
Informal Recycling Risks: 95% of e-waste is processed by informal workers without safety equipment, causing lead, mercury, and cadmium poisoning.
No Predictive Tools: Policymakers lack data-driven forecasting to proactively allocate resources and implement regulations ahead of waste peaks.
Urban Concentration: Top 5 cities account for 62% of all e-waste, yet lack targeted city-level policies and monitoring systems.

Our Solution

ML Prediction Engine
Polynomial regression trained on 2010–2023 data, forecasting e-waste volumes through 2040
GIS Heatmap Analysis
Interactive city-level heatmaps showing e-waste density and risk levels across India
Scenario Simulation
Model optimistic, baseline, and pessimistic trajectories under different policy interventions
Policy Recommendations
AI-generated, city-specific policy recommendations with estimated impact percentages
30-Year Forecasts
Year-by-year projections from 2010–2040 with confidence intervals and growth analysis
Report Export
Download city rankings as CSV and AI prediction results as formatted text reports

Technology Stack

Python 3.9
Flask 3.0
scikit-learn
NumPy
Vanilla JS
Chart.js 4
Leaflet.js
Flask-CORS

Data Sources & References

Global E-Waste Monitor 2023 — United Nations University / ITU / UNITAR
Primary source for global e-waste generation statistics, country-level data, and growth projections
E-Waste Management Rules 2022 — Ministry of Environment, Forest & Climate Change, India
EPR targets, formal recycling norms, and manufacturer compliance framework
Census of India 2021 — Office of the Registrar General of India
Population statistics and demographic data used for ML model training and city-level analysis
ASSOCHAM E-Waste Report 2023 — Associated Chambers of Commerce & Industry of India
City-level device penetration rates, informal sector statistics, and recycler data