AI Tamil Nadu Travel Planner Website
Краткое
Freelancer Client is hiring: AI Tamil Nadu Travel Planner Website.
Location: Remote
I want to launch a web-based travel planner that focuses exclusively on Tamil Nadu and is powered by an AI model trained on the open datasets provided by the state tourism department. The core of the site will be an intelligent itinerary engine: visitors choose travel dates, interests, and group size, and the model instantly proposes day-by-day plans while spotlighting the must-see temples, beaches, hill stations and heritage sites that Tamil Nadu is famous for.
AI-generated itinerary suggestions that feel personal yet accurate.
Dynamic “Popular Tourist Spots” section that refreshes as new data is added to the training set.
Seamless hand-off to official booking channels—each recommended bus or train segment should appear with direct links to both the TNSTC and IRCTC sites; the planner itself will not process bookings.
Tech stack is flexible as long as the AI workflow (data ingestion, training, inference) is clearly documented and the front-end runs smoothly on desktop and mobile. Clean code, well-structured APIs, and a concise README are the expected deliverables.
Skills: Website Design, Graphic Design, HTML, Data Science, Web Development, API Development
Budget: $750–$1250 USD
Source: Freelancer Client via Remote / Online. Apply on the source website.
Оригинал
I want to launch a web-based travel planner that focuses exclusively on Tamil Nadu and is powered by an AI model trained on the open datasets provided by the state tourism department. The core of the site will be an intelligent itinerary engine: visitors choose travel dates, interests, and group size, and the model instantly proposes day-by-day plans while spotlighting the must-see temples, beaches, hill stations and heritage sites that Tamil Nadu is famous for.
Key functions I need built:
• AI-generated itinerary suggestions that feel personal yet accurate.
• Dynamic “Popular Tourist Spots” section that refreshes as new data is added to the training set.
• Seamless hand-off to official booking channels—each recommended bus or train segment should appear with direct links to both the TNSTC and IRCTC sites; the planner itself will not process bookings.
Tech stack is flexible as long as the AI workflow (data ingestion, training, inference) is clearly documented and the front-end runs smoothly on desktop and mobile. Clean code, well-structured APIs, and a concise README are the expected deliverables.
check the project in sikkanam.vercel.app
only the AI integration is not working because of usage exhaustment
Локация & Details
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