Empowering the blind through real-time facial recognition and audio feedback using Python and AI.

VisioVoice is a Python-based AI project designed to help visually impaired individuals recognize familiar faces. Using facial recognition and audio feedback, it allows users to "see" who’s around them, restoring independence and enabling emotional connection.

This image was AI-generated to represent the concept.

• Features
• Inspiration
• Tech Stack
• Installation
• Usage
• Challenges
• Contributing
• License

• ✅ Real-time face recognition using webcam
• ✅ Text-to-speech audio output
• ✅ Object detection integration (YOLO ready)
• ✅ Automatic face learning and storage
• ✅ Works offline without internet

The idea began after witnessing a robotic hand controlled by neural signals at an ISEF event. That childhood spark grew into a mission to create accessible, life-enhancing AI. After mastering Python through Harvard's CS50P, I dedicated months to designing AI glasses that could restore independence to blind users.

• Python 3.13.5
• face_recognition
• OpenCV
• pyttsx3 (Text-to-Speech)
• NumPy
• YOLO (optional for object detection)

💡 Works best on Python 3.13 (yes, it's fully compatible!)

1. Clone the repo:

   git clone https://github.com/yourusername/VisioVoice.git
   cd VisioVoice