The AI Image Captioning App is a Flask-based web application that uses a deep learning model to generate intelligent captions for uploaded images. It analyzes the image and provides the best possible description along with a confidence score.

• 📷 Upload any JPG/PNG image
• 🧠 Automatically generates a descriptive caption
• 📊 Displays prediction confidence percentage
• 🎨 Smooth, responsive, and aesthetic UI
• 💡 Built using Flask, Python, and a custom ML model

• HTML5
• CSS3
• Jinja2 (Flask template rendering)

• Python
• Flask
• Pre-trained image captioning model
• Custom module: caption_model.py

• Python 3.x
• Pip
• Virtualenv (optional but recommended)

1. Clone the repository

   git clone https://github.com/your-username/AI-Image-Captioning.git
   cd AI-Image-Captioning
   

• User uploads an image through the UI
• The image is saved to the /static/uploads/ directory
• The model (in caption_model.py) processes the image
• The generated caption and confidence score are returned and displayed

• 🖼️ Support for drag-and-drop image upload
• 🧠 Use more powerful models like BLIP or Vision Transformers
• 🌐 Add language translation for captions
• ☁️ Deploy on Render or HuggingFace Spaces