Image Captioning Web Application

This web application allows users to generate captions and audio for images using a deep learning model.

Features

• Upload images: Users can upload images through the web interface.
• Caption generation: The application generates captions for the uploaded images using a pre-trained deep learning model.
• Display captions: The generated captions are displayed on the web interface for users to see.
• Audio Generation: Converts the generated captions to audio

Technologies Used

• Frontend: React.js
• Backend: Flask (Python)
• Deep Learning Framework: TensorFlow/Keras, Tesseract OCR, ViT
• Image Processing: PIL (Python Imaging Library)
• Audio Generation: gTTS

Installation

1. Clone the repository:

git clone <repository_url>
cd image-captioning-web-app

2. Frontend dependencies

cd frontend
npm install

3. Backend dependencies

cd ../backend
python app.py

Access the Web Application

Open your web browser and navigate to http://localhost:3000 to access the web application.

Usage

1. Upload Image: Click on the "Choose File" button to select an image from your local filesystem.

2. Generate Caption: After selecting an image, click on the "Upload" button to generate a caption for the image.

3. View Caption: The generated caption will be displayed on the web page below the uploaded image.

Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue if you encounter any bugs or have suggestions for improvements.