# Real-Time Visual to Audio Conversion for Accessibility

**Technologies:** Python, PyTorch, EfficientNet, Transformer, Tacotron 2, Flask, JavaScript  

## Objective
Develop a system that converts visual content into real-time audio descriptions, improving accessibility for visually impaired users.

## Key Contributions
- Designed object detection and image captioning models, integrated with Tacotron 2 for generating audio descriptions.
- Developed a browser extension with Flask and JavaScript for real-time interaction.

## Outcome (Ongoing)
Expected to empower visually impaired users by enabling access to detailed audio descriptions, enhancing their digital experience.