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Hi abhirup, Thanks for your interest in the project! You asked for the backend code as proof of work, and that's a great question. The way Indie AI is built is with a modern, serverless architecture, which means you won't find a traditional backend file (like a Python or Node.js server). All of the logic is self-contained in the index.html file. The application runs entirely in the user's browser and communicates directly with external AI services. The core "backend" logic you're looking for is the makeGeminiApiCall function. This is the JavaScript function I wrote that: Takes the user's prompt and conversation history. Adds my custom system instructions and user preferences. Securely sends the data to Google's Gemini API endpoint. Receives the response from the API and displays it to the user. Similarly, for the image generation feature, the code constructs a URL to call the image.pollinations.ai API. This client-side approach is what makes the project lightweight and scalable. The real work was in designing the user interface with React, managing the application's state, and correctly integrating with the Google Gemini API to create a seamless chat experience. I'd be happy to walk you through the JavaScript code in the index.html file to show you exactly how it works. Best regards, jainik shah

the way you host backend is not backend logic. you claim of "India's own AI " but actually as per you , you are using Gemini, which is a wrong claim. BTW, good project...though it can be presented in a clear manner