##YouTube:
Empowering the visually impaired with AI-powered image descriptions transformed into audible experiences.
VIID leverages the power of cutting-edge AI models, like miniGPT4 and GPT4, combined with image recognition and text-to-speech technologies, to offer the visually impaired a unique opportunity to "hear" the visual world around them.
- Image Recognition: Accurate image recognition to capture essential details.
- AI-Powered Descriptions: Enhanced detail recognition using miniGPT4 and enriched textual descriptions using GPT4.
- Blind-Friendly Textual Adaptation: Textual content refinement tailored for the visually impaired audience.
- Text-to-Speech Transformation: Convert descriptions into clear, comprehensible, and natural audio using gtts.
# Clone the repository
git clone https://github.com/your_username/VIID.git
# Navigate to the directory
cd hackson2
# Install required packages (consider using a virtual environment)
pip install -r requirements.txt
# Run the application
python app.py- Capture or upload an image.
- Let VIID process the image.
- Listen to the detailed audible description.
- Emphasis on high-quality data for optimal image recognition.
- Iterative development and the value of continuous user feedback.
- The importance of a user-centric approach.
- Addressing technical challenges related to real-time processing and compatibility.
- Initiate a broader user trial phase for feedback.
- Enhance voice output quality and options.
- Expand multilingual and dialect support.
Feel free to fork the project, submit pull requests, or create issues. We appreciate collaboration and feedback!
MIT License. See LICENSE for more information.
##Devpost QR code
