All-in-One Travel Route Optimizer
Budget: ₹1,500 – ₹12,500 INR
Finding the best way to travel between two places is often confusing because buses, trains, and
flights all work separately with different schedules and ticket systems. Many travelers waste time
comparing options across multiple sources, yet still struggle to decide which route is the most
convenient. Our project aims to solve this problem by creating a single system that brings all travel
options together in one place, making the process easier and more reliable. The system works by
collecting travel details such as timings, fares, and locations for buses, trains, and aircrafts through
web scraping the data sources. This information is then organized into a common map of travel
hubs, including bus stops, train stations, and airports. The map clearly shows possible connections,
making it easy to plan transfers from one vehicle to another.
Using the Google maps API, the agentic framework build through Langchain, searches for the best
routes between the user’s starting point and destination. If a direct route does not exist, it
automatically combines different options, such as a bus plus a train or a train plus a flight, to create
a complete journey. The routes are then checked for seat availability, transfer convenience, and
overall timing. Finally, the system ranks the results based on the user’s preference—whether they
want the cheapest, fastest, or most balanced option—and presents a clear travel plan.
flights all work separately with different schedules and ticket systems. Many travelers waste time
comparing options across multiple sources, yet still struggle to decide which route is the most
convenient. Our project aims to solve this problem by creating a single system that brings all travel
options together in one place, making the process easier and more reliable. The system works by
collecting travel details such as timings, fares, and locations for buses, trains, and aircrafts through
web scraping the data sources. This information is then organized into a common map of travel
hubs, including bus stops, train stations, and airports. The map clearly shows possible connections,
making it easy to plan transfers from one vehicle to another.
Using the Google maps API, the agentic framework build through Langchain, searches for the best
routes between the user’s starting point and destination. If a direct route does not exist, it
automatically combines different options, such as a bus plus a train or a train plus a flight, to create
a complete journey. The routes are then checked for seat availability, transfer convenience, and
overall timing. Finally, the system ranks the results based on the user’s preference—whether they
want the cheapest, fastest, or most balanced option—and presents a clear travel plan.