Contact person: Business Client

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Location: New Delhi, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I need a complete railway-service website built from the ground up, centred on an AI customer-service chatbot. The site must look modern, load fast, and scale well across desktop and mobile devices.

Core AI element
The chatbot should greet visitors, answer common route and fare questions, and guide them through every step of a journey. Beyond basic Q&A, it has to:
• Push real-time schedule updates drawn from live railway feeds.
• Offer personalised travel tips that include nearby accommodation and dining ideas as well as any discounts or loyalty perks a frequent traveller might enjoy.

Site experience
I want a clean, intuitive UI that rivals leading travel portals: responsive design, accessible colours and type, and clear calls-to-action. Pages must cover timetables, routes, fare details, and a secure log-in area where travellers can view past journeys and saved preferences. Integrating payment later for full ticketing is on my roadmap, so structure the codebase to add that without major refactor.

Tech expectations
Use a mainstream framework—React, [login to view URL], or similar—paired with a backend that can comfortably handle real-time data (Node, Django, or comparable). The AI layer may rely on OpenAI, Dialogflow, or your preferred NLP engine, as long as the training pipeline allows me to expand intents easily. API calls to railway data must be cached smartly to avoid latency spikes.

Deliverables
• Fully deployed website with domain and HTTPS
• AI chatbot trained on my initial FAQ set and hooked to live schedules
• Admin panel to edit replies, promotions, and recommendation rules
• Documentation: architecture diagram, environment setup, and update guide

Acceptance criteria
The chatbot responds to the sample scenarios I will provide within three seconds, the schedule feed auto-refreshes without page reload, and all personalised offers render accurately according to user profile data.

If you have previous travel or transport projects to show, link them in your proposal and outline how you will train and deploy the AI component." (client-provided description)