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🌿 EcoVision AI — Accessibility-First Waste Segregation Powered by Gemma + Ollama
🌿 EcoVision AI — Accessibility-First Waste Segregation Powered by Gemma + Ollama
39 million blind people worldwide cannot independently identify the correct waste bin for disposal. Most waste segregation systems rely on colors, labels, and visual interfaces — creating a major accessibility and dignity gap for visually impaired communities.
EcoVision AI solves this problem using real-time AI-powered waste detection and voice-guided assistance.
Built with YOLOv8n, FastAPI, React, Gemma, and Ollama, the system detects waste items through a webcam, classifies them into Wet, Dry, Recyclable, or Hazardous categories, and instantly speaks disposal guidance aloud using accessible AI-generated responses.
♿ Designed specifically for visually impaired users:
• Full keyboard navigation
• Screen reader support (WCAG 2.1 AA)
• Voice commands
• High contrast mode
• Adjustable speech speed
• Offline functionality
🤖 Powered by Gemma via Ollama:
We built a custom accessibility-focused prompting system optimized for text-to-speech guidance. Gemma generates short, clear, human-friendly disposal instructions in real time — completely locally and privately.
🌍 Why this matters:
Correct waste segregation reduces landfill contamination, improves recycling efficiency, and prevents hazardous waste risks. For blind users, independently identifying the correct disposal bin is a daily challenge that existing systems ignore.
EcoVision AI combines Digital Equity, Accessibility, Sustainability, and Offline AI into one real-world solution designed for communities often excluded from technology innovation.
🛠️ Tech Stack:
• React.js + CSS
• FastAPI (Python)
• YOLOv8n Object Detection
• Gemma via Ollama
• Azure Cognitive TTS + pyttsx3
• Supabase PostgreSQL
• Azure VM + Vercel Deployment
✨ Features:
• Real-time waste detection
• Voice-guided waste segregation
• Offline AI support
• Accessible UI/UX
• Voice command interaction
• Detection history & analytics
• Works on low-end hardware without GPU
🚀 Live Demo:
www.aivisionpro.xyz
💻 Built for the Kaggle The Gemma 4 Good Hackathon
#Gemma #Ollama #YOLOv8 #Accessibility #AIForGood #WasteManagement #FastAPI #ReactJS #MachineLearning #InclusiveTechnology #DigitalEquity #GlobalResilience #Hackathon
Видео 🌿 EcoVision AI — Accessibility-First Waste Segregation Powered by Gemma + Ollama канала RtistickBhumi
39 million blind people worldwide cannot independently identify the correct waste bin for disposal. Most waste segregation systems rely on colors, labels, and visual interfaces — creating a major accessibility and dignity gap for visually impaired communities.
EcoVision AI solves this problem using real-time AI-powered waste detection and voice-guided assistance.
Built with YOLOv8n, FastAPI, React, Gemma, and Ollama, the system detects waste items through a webcam, classifies them into Wet, Dry, Recyclable, or Hazardous categories, and instantly speaks disposal guidance aloud using accessible AI-generated responses.
♿ Designed specifically for visually impaired users:
• Full keyboard navigation
• Screen reader support (WCAG 2.1 AA)
• Voice commands
• High contrast mode
• Adjustable speech speed
• Offline functionality
🤖 Powered by Gemma via Ollama:
We built a custom accessibility-focused prompting system optimized for text-to-speech guidance. Gemma generates short, clear, human-friendly disposal instructions in real time — completely locally and privately.
🌍 Why this matters:
Correct waste segregation reduces landfill contamination, improves recycling efficiency, and prevents hazardous waste risks. For blind users, independently identifying the correct disposal bin is a daily challenge that existing systems ignore.
EcoVision AI combines Digital Equity, Accessibility, Sustainability, and Offline AI into one real-world solution designed for communities often excluded from technology innovation.
🛠️ Tech Stack:
• React.js + CSS
• FastAPI (Python)
• YOLOv8n Object Detection
• Gemma via Ollama
• Azure Cognitive TTS + pyttsx3
• Supabase PostgreSQL
• Azure VM + Vercel Deployment
✨ Features:
• Real-time waste detection
• Voice-guided waste segregation
• Offline AI support
• Accessible UI/UX
• Voice command interaction
• Detection history & analytics
• Works on low-end hardware without GPU
🚀 Live Demo:
www.aivisionpro.xyz
💻 Built for the Kaggle The Gemma 4 Good Hackathon
#Gemma #Ollama #YOLOv8 #Accessibility #AIForGood #WasteManagement #FastAPI #ReactJS #MachineLearning #InclusiveTechnology #DigitalEquity #GlobalResilience #Hackathon
Видео 🌿 EcoVision AI — Accessibility-First Waste Segregation Powered by Gemma + Ollama канала RtistickBhumi
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