Build A Ai in which gives prompt and the ai make whole app
Budget: ₹1,500 – ₹12,500 INR
I need a proof-of-concept AI that turns a plain-language prompt into a runnable application. When someone types “Build a to-do list,” the system should automatically generate:
• A working web app (stack is flexible—React, Angular, Vue, or whatever you feel is quickest for a demo).
• A cross-platform mobile build for both iOS and Android (React Native, Flutter, or similar).
• A lightweight back-end that lets the front-end read/write data (simple CRUD is enough).
Scope for this first version is intentionally basic:
1. Single web page where the user enters the prompt.
2. Pipeline that calls an LLM (OpenAI, Llama, etc.) to plan and output code.
3. One-click download or Git repo containing the generated web code, mobile code, and back-end.
4. Setup instructions so I can run everything locally and see the app working.
5. Short screen-recording showing the AI generate and launch an example app.
Keep the architecture modular so I can swap models or add features later, but stay lightweight enough to run on a standard laptop.
If you’ve already played with code-generation frameworks, prompt engineering, or agents such as Auto-GPT, mention it—those skills will help speed things up.
Source code, README, and demo video are the final deliverables.
• A working web app (stack is flexible—React, Angular, Vue, or whatever you feel is quickest for a demo).
• A cross-platform mobile build for both iOS and Android (React Native, Flutter, or similar).
• A lightweight back-end that lets the front-end read/write data (simple CRUD is enough).
Scope for this first version is intentionally basic:
1. Single web page where the user enters the prompt.
2. Pipeline that calls an LLM (OpenAI, Llama, etc.) to plan and output code.
3. One-click download or Git repo containing the generated web code, mobile code, and back-end.
4. Setup instructions so I can run everything locally and see the app working.
5. Short screen-recording showing the AI generate and launch an example app.
Keep the architecture modular so I can swap models or add features later, but stay lightweight enough to run on a standard laptop.
If you’ve already played with code-generation frameworks, prompt engineering, or agents such as Auto-GPT, mention it—those skills will help speed things up.
Source code, README, and demo video are the final deliverables.