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
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