PhotoPhrase - Image to Caption Generator

PhotoPhrase is a web application that generates captions for uploaded images using advanced computer vision and natural language processing techniques. The frontend is built with Next.js, Tailwind CSS, and Shadcn/ui, while the backend utilizes Python, VGG16 for feature extraction, and neural networks connected through a custom API.

Features

• Intuitive User Interface: The website features a clean and modern design, making it easy for users to upload images and receive their captions.
• Powerful Image Caption Generation: Leveraging the VGG16 convolutional neural network for feature extraction and a custom neural network model, PhotoPhrase accurately generates captions that describe the contents of the uploaded images.
• Real-Time Processing: The custom API allows for seamless integration between the frontend and backend, enabling real-time image processing and caption generation.
• Responsive Design: The website is built with a responsive layout, ensuring optimal viewing experience across various devices and screen sizes.

Technologies Used

Frontend

• Next.js: A React framework for building server-rendered and static websites with excellent performance and developer experience.
• Tailwind CSS: A utility-first CSS framework that provides a highly customizable and responsive styling solution.
• Shadcn/ui: A set of accessible and modern React UI components, built with Tailwind CSS and Radix UI libraries.

Backend

• Python: The backend is built using Python, a versatile and widely-used programming language for data analysis and machine learning tasks.
• VGG16: A pre-trained convolutional neural network model used for feature extraction from the uploaded images.

• Neural Networks: A custom neural network model trained on image caption data for generating accurate and descriptive captions.
• Custom API: A Next.JS and Python based API that integrates the frontend and backend components, enabling real-time image processing and caption generation.

Getting Started

To run the PhotoPhrase application locally, follow these steps:

1. Clone the repository: git clone https://github.com/JoyBrar2001/photophrase.git
2. Install the required dependencies for the frontend and backend.
3. Start the development server for the frontend and backend components.
4. CHANGE CODE ACCORDINGLY TO YOUR COMPUTER. (IMP)
5. Open your web browser and navigate to http://localhost:3000 to access the PhotoPhrase website.