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Adithya SN
Selected work — 03/052026YOLOv8 / PyTorch / FastAPI / Next.js / Supabase / PostGIS

WasteVision
AI

AI-powered waste detection & environmental reporting platform — a custom YOLOv8 model spots waste in photos, plots it on a live map and drives cleanup workflows.

Solo — Full-stack & MLMVP functionalScroll
Screenshot soon
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03.1Overview

An end-to-end environmental platform where citizens upload photos of waste-affected areas and a custom-trained YOLOv8m model detects and classifies the waste automatically. Detections are geolocated and plotted on a live interactive map, nearby reports are clustered into pollution hotspots with PostGIS, and high-severity zones trigger cleanup requests with real-time notifications. The system closes the loop with community feedback that feeds model retraining, a reporter trust-tier system that auto-approves proven contributors, and an environmental impact tracker measuring kilograms of waste removed.

Role
Solo — Full-stack & ML
Stack
YOLOv8, PyTorch, FastAPI, Next.js, Supabase, PostGIS
Year
2026
Status
MVP functional
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