Josephine-Analytics/-GreenCircuit-Waste-Management-System-

GreenCircuit is an end‑to‑end Python and Machine Learning pipeline that simulates waste generation, recycling logistics, and climate impact across SMEs in Kenya and Nigeria. It includes a full PostgreSQL backend, synthetic data generation, climate KPI computation, and an ML model for predicting climate impact. # -GreenCircuit-Waste-Management-System- GreenCircuit is an end‑to‑end Python and Machine Learning pipeline that simulates waste generation, recycling logistics, and climate impact across SMEs in Kenya and Nigeria. It includes a full PostgreSQL backend, synthetic data generation, climate KPI computation, and an ML model for predicting climate impact. 🌍 GreenCircuit — End‑to‑End Climate Impact Prediction Pipeline A Python + SQL + Machine Learning project for waste intelligence, climate analytics, and operational optimization. 📌 Overview GreenCircuit is a full end‑to‑end data engineering and machine learning pipeline designed to simulate, analyze, and predict climate impact from SME waste generation in Kenya and Nigeria. The project builds a realistic backend data infrastructure, generates synthetic but geographically accurate datasets, computes climate KPIs, and supports ML‑based climate impact prediction. This project demonstrates: Backend schema design using PostgreSQL + SQLAlchemy Large‑scale synthetic data generation using Faker + custom logic Waste intelligence modeling inspired by World Bank waste composition patterns Climate KPI computation (diversion, emissions avoided, net climate impact) ML‑ready dataset creation for downstream modeling A complete Python‑based analytics and prediction pipeline 🧱 Project Architecture 1. Data Infrastructure & Backend Schema A relational schema was designed to support waste tracking, recycling, logistics, and climate metrics. Core tables include: smes — SME profiles, locations, waste generation waste_types & waste_subcategories — WB‑style waste taxonomy waste_listings — granular waste events with toxicity, pH, CO₂ offsets recyclers — recycler capabilities, capacity, efficiency logistics_partners — transport partners, vehicles, costs pickups — trip‑level logistics, fuel, emissions, completion climate_metrics — listing‑level climate KPIs regulators, toxicity_rules, handling_guidelines — compliance logic All tabl …