FEATURED
◆ PROJECT WORLD
EcoVision
AI E-Waste Classifier
AI-powered e-waste classification with 10+ features: dashboard, gamified quiz, voice assistant, chatbot & disposal finder. 90%+ accuracy.
◆ WORLD
Ancient Forest of Nuidr
Emerald ruins, moss platforms, and hidden eco-data relics.
▶ TILESET
CNN Model
Image classifier core
Data Pipeline
Preprocess + augment
Auth Layer
JWT sessions
Cloudinary
Media storage
Quiz Engine
Gamified learning
Voice Assist
Accessibility helper
Chatbot
Guided support
Disposal Finder
Nearby eco points
▶ ASSETS
Admin Dashboard
KPIs and usage
Prediction API
Model inference endpoint
Leaderboard
User engagement loop
Awareness Modules
E-waste education
Upload Flow
Multi-image support
Notification System
Action reminders
◆ MISSION BRIEF
PROBLEM
People struggle to identify e-waste type and safe disposal options in real time.
SOLUTION
A guided AI platform that classifies items, educates users, and recommends next disposal actions.
OUTCOME
Achieved 90%+ accuracy on 500+ images and increased engagement with gamified interaction.
▶ KEY HIGHLIGHTS
- Built a CNN-powered classifier for e-waste image recognition
- Added disposal finder, chatbot, quiz, and voice assistant for accessibility
- Integrated secure auth and media uploads with Cloudinary
- Designed game-like UX flow to improve user retention
▶ PROJECT STATS
90%+
ACCURACY
500+
IMAGES
+40%
ENGAGEMENT
▶ TECH STACK
MERNPythonCNNTypeScriptCloudinary
▶ VIEW CODE