Image Caption Generation with AI

This project leverages artificial intelligence to generate captions for images. The system uses a machine learning model to describe the contents of an image in human-readable language. The application consists of both frontend and backend components.

Table of Contents

• Overview
• Features
• Tech Stack
• Backend Setup

Overview

This project is an Image Caption Generation application that allows users to upload images and receive a caption describing the content of the image. The backend is powered by a machine learning model that processes the uploaded image and generates a caption. The frontend provides a user-friendly interface to interact with the system.

Key Features:

• Upload an image from the frontend.
• Receive AI-generated captions for the uploaded image.
• Simple user authentication and logout functionality.
• Responsive, modern user interface with smooth animations.

Demo

Tech Stack

Frontend:

• React.js: JavaScript library for building the user interface.
• Tailwind CSS: Utility-first CSS framework for fast UI development.
• Framer Motion: Animation library for smooth transitions and animations.
• Axios: HTTP client for making requests to the backend.
• Lucide React Icons: Set of React icons used for UI elements.

Backend:

• Flask: Micro web framework for building the API.
• TensorFlow / PyTorch: Deep learning frameworks for the image captioning model.
• Python: The backend language used for AI processing.
• Flask-RESTful: Extension for building REST APIs in Flask.
• PostgreSQL: Database for storing user authentication information (optional).
• Redis: Used for caching and managing sessions (optional).

Backend Setup

Prerequisites

• Python 3.7 or later
• Flask
• TensorFlow or PyTorch (depending on the model)
• PostgreSQL (optional)
• Redis (optional)