📸 Voice-Enabled Smart Vision Backend Description This is designed to enhance accessibility for visually impaired users. Built with FastAPI and integrated with a modular camera pipeline, it captures live frames, analyzes objects using deep learning, and narrates results using pyttsx3.
🔧 Features
- Real-Time Object Detection Seamless camera-to-backend pipeline optimized for mobile and desktop environments.
- Voice Narration Engine Converts object labels into spoken feedback using a threaded TTS system.
- Modular Architecture Clean separation of capture, analysis, and narration layers for rapid iteration and scalability.
- Accessibility-First Design Prioritizes low-latency feedback and compatibility with assistive technologies.
🧠Tech Stack | Layer | Tools & Frameworks | | Backend | FastAPI, Python | | TTS Engine | pyttsx3 | | Object Detection | OpenCV, TensorFlow/PyTorch (customizable) | | Deployment | Docker, Uvicorn, Gunicorn | | Monitoring | PostHog / Mixpanel (optional) |
🚀 Getting Started git clone https://github.com/your-username/vss-backend.git cd vss-backend pip install -r requirements.txt uvicorn main:app --reload
📌 Roadmap
- [*] Thread-safe voice narration
- [*] Mobile-compatible camera capture
- [*] Multi-language narration support
- [*] Integration with Bharat Explorer frontend
- [*] Offline mode for low-connectivity regions