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CleanRoute AI

AI-Powered Smart Waste Management

An AI-powered smart waste management system that uses computer vision, machine learning, and route optimization to improve waste collection efficiency in urban areas — citizens report issues with photos, the AI detects fill level and priority, K-Means optimizes routes, and Linear Regression predicts future generation.

Main Features

Detection, prioritization, routing, and forecasting — in one smart-city platform.

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Image-Based Detection

Upload or capture waste images; AI analyzes fill level and waste type with ~90% accuracy and a clear recommendation.

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Priority Classification

Categorizes complaints into URGENT / HIGH / MEDIUM / LOW using Decision Tree + Naive Bayes so the right crew is dispatched.

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Smart Route Optimization

K-Means clustering groups nearby complaints into efficient collection routes, saving ~25% of collection time.

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Waste Prediction

Linear Regression forecasts the next 7 days of waste generation (RMSE ~6.09 tons) to plan capacity ahead.

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Anomaly Detection

Isolation Forest surfaces illegal-dumping hotspots (~88% accuracy) for targeted enforcement.

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Real-Time Dashboard

Interactive charts, live statistics, and workload distribution for admins and field teams.

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Role-Based Access

Three roles — Admin, Citizen, Tester — with scoped permissions and JWT-secured endpoints.

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Interactive Maps

Leaflet maps with priority-colored markers and route visualization for field operations.

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Export Reports

Generate PDF / Excel reports for compliance, audits, and operational analysis.

Technology Stack

Django Django REST Framework React 19 Material-UI Supabase scikit-learn OpenCV Render + Vercel

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