Contact person: Business Client

Phone:Show

Email:Show

Location: Bengaluru, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"The goal is to build a GPT-powered service that fetches live railway-station data—platform numbers and upcoming train timings—exclusively from publicly available websites, then serves the answers instantly on both web and mobile front ends.

How it should work
• The back-end agent receives a user query such as “Next three departures from Mumbai CST” or “Which platform for Train 12002 at Agra Cantt at 18:00?”.
• It scrapes or calls the chosen public sites in real time, cleans the results, and feeds accurate, structured information into GPT so responses are conversational yet precise.
• A lightweight REST (or GraphQL) layer exposes the data to a React / Flutter / PWA interface—whichever you find fastest for simultaneous web and mobile delivery.

Key requirements
• Real-time data refresh with minimal lag; caching no longer than 60 seconds for time-sensitive endpoints.
• Clear separation between the scraper/parser, the GPT prompt logic, and the UI so each piece can be swapped or upgraded independently.
• Include polite fallback replies for missing or delayed data instead of showing errors.
• Code, setup scripts, and a one-page deployment guide must run on a standard Linux VPS.

Acceptance criteria
1. Type “/status Delhi” in the demo chat and receive at least five upcoming departures with correct platform numbers matching the source site.
2. The same request from a mobile browser returns identical data formatted responsively.
3. Source URLs and timestamps are logged for every answer and can be exported as CSV.

I’ll provide a test server and sample source links once we start; you take it from first commit to a working demo that passes the above checks." (client-provided description)