AI-Driven Web App Development
Budget: ₹600 – ₹1,500 INR
I’m building a web-based application whose core feature is an integrated AI model, and I need an experienced developer to take it from concept to a working, user-friendly product. The project is entirely software-focused; there’s no network or security audit component—just solid, clean code that brings the AI functionality to life in a browser.
Here’s the picture: the AI model will handle the heavy lifting on the backend, returning predictions or generated content, while the frontend presents results in a modern, responsive interface. I already have high-level flow diagrams and a shortlist of preferred tools, but I’m open to your suggestions if they achieve faster iteration and reliable scaling.
Your deliverable is a fully deployable web application:
• Frontend built with a mainstream framework (React, Vue, or similar)
• Backend endpoints that connect to the AI model (Python/FastAPI or Node/Express work for me)
• A simple database layer for user data and session storage
• Clear setup instructions so I can spin up the project in my own environment without surprises
Acceptance criteria: the app should load in under three seconds on a broadband connection, the AI endpoint must return results in real time or via a visible progress indicator, and your code needs to pass a quick readme-driven deployment test on my side.
If this sounds like a challenge you’d enjoy, let’s talk timelines and milestones.
Here’s the picture: the AI model will handle the heavy lifting on the backend, returning predictions or generated content, while the frontend presents results in a modern, responsive interface. I already have high-level flow diagrams and a shortlist of preferred tools, but I’m open to your suggestions if they achieve faster iteration and reliable scaling.
Your deliverable is a fully deployable web application:
• Frontend built with a mainstream framework (React, Vue, or similar)
• Backend endpoints that connect to the AI model (Python/FastAPI or Node/Express work for me)
• A simple database layer for user data and session storage
• Clear setup instructions so I can spin up the project in my own environment without surprises
Acceptance criteria: the app should load in under three seconds on a broadband connection, the AI endpoint must return results in real time or via a visible progress indicator, and your code needs to pass a quick readme-driven deployment test on my side.
If this sounds like a challenge you’d enjoy, let’s talk timelines and milestones.