Depiction-of-image-features-with-audio-to-aid-visually-impaired-persons

This project is designed to make visual content accessible to visually impaired individuals by generating audio descriptions of images. Leveraging Python, machine learning, and text-to-speech technologies, the system identifies image features, converts them into textual captions, and translates them into audio for playback.

---

Features

• Image Recognition: Uses deep learning models (e.g., Vision Transformers) to analyze images and extract features.
• Caption Generation: Generates meaningful descriptions of images in text form.
• Multilingual Audio Output: Provides audio descriptions in English, Kannada, and Hindi using advanced text-to-speech (TTS) libraries.
• User-Friendly Interface: Enables users to upload images and listen to detailed audio descriptions seamlessly.

---

Tech Stack

• Frontend: Google Colab for interactive prototyping.
• Backend: Python, TensorFlow, PyTorch, VisionEncoderDecoderModel, gTTS, and OpenCV.
• Additional Libraries: NumPy, Matplotlib, and Google Translate API for multilingual support.
• Development Tools: Flask for interface development and Git for version control.

---

How It Works

1. Image Upload: Users upload an image via the interface.
2. Feature Extraction: The system analyzes the image using pre-trained deep learning models.
3. Caption Generation: Converts features into meaningful captions.
4. Text-to-Speech: Translates captions into audio in the desired language.
5. Playback: Users can listen to detailed audio descriptions of the image.

---

Applications

• Enhancing accessibility for visually impaired individuals.
• Use in education and assistive technologies.
• Real-time applications for image and video captioning.

---

Results

The project has demonstrated effective use of audio descriptions to convey image features. It significantly enhances accessibility and independence for visually impaired users.

---