An Application Programming Interface (API) allows different software programs to communicate without understanding each other’s internal logic or structure. APIs are widely used to build server-side applications that support various client interfaces, such as web or mobile apps.
In this project, we’ll develop a robust, scalable REST API for an image sharing application. The backend will be built using the Express.js framework in Node.js and interact with a MongoDB database to store and retrieve application data.
The application will include full user authentication and profile management. Users will be able to:
Register and log in using their credentials.
Manage and update their username, email address, and profile picture.
Upload and manage image and posts.
This project also integrates an LLM-powered chatbot (using the large language model Google Gemini) to enhance functionality and user engagement. This intelligent assistant:
Allows users to ask questions about the project.
Uses retrieval-augmented generation (RAG) to fetch relevant parts of the project documentation.
Provides accurate and context-aware answers using only the embedded project content.
Additionally, the project follows RESTful API design principles and supports secure authentication using JSON Web Tokens. Image uploads can be handled locally.