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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.
Projekt-ID: 40257149
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8 Freelancer bieten im Durchschnitt ₹7.081 INR für diesen Auftrag

Have over 18 years of experience in data mining/ Web scrapping/ Scraping Bots/ Chrome/Opera Extensions I have done it all. Tell us your source and we will put it in excel for you, Or we can even give you filtered results as per your requirement, In the format you want. You can also ask for data into a particular format - Excel, Json, Mysql, Databases, XMLs, you name them. Further Can help you with integrating it with ur databases, Can create json outputs. We are not only good with scraping but also with the tools that u may need after that. We can help you build you softwares round the data we have 99% Data Accuracy. We have Duplicate finder. etc., We can help with Statistics on the data We can help with creating Api's front the data We can create Softwares to manage that data We can build Sites round the data
₹7.000 INR in 3 Tagen
6,9
6,9

I understand that your project aims to create an all-in-one travel route optimizer that consolidates various travel options like buses, trains, and flights into a single, user-friendly platform. By utilizing web scraping to gather real-time data on schedules and fares, the system will streamline the planning process, allowing users to easily visualize connections and choose the best routes based on their preferences. With over 15 years of experience in web scraping and API integration, I have successfully completed more than 200 projects that required similar data collection and integration techniques. My background in full-stack development, particularly with Python and Node.js, equips me to build a robust system that meets your specifications. To deliver this project, I would start by setting up a web scraping framework to gather travel data from various sources, followed by integrating this data into a unified database. I would then leverage the Google Maps API and Langchain to develop an intuitive interface that allows users to input their travel details and receive optimized route suggestions. I estimate that this project could be completed within 4 to 6 weeks, ensuring thorough testing and refinement. I would love to discuss your vision for this project in more detail.
₹1.650 INR in 7 Tagen
0,5
0,5

I am an AI Engineer from IIT Kharagpur specializing in Agentic AI workflows and LangChain, with specific experience building multi-agent systems using CrewAI and AWS Bedrock. I can develop your unified travel system by architecting specialized agents to scrape real-time data from disparate sources (bus, train, and flight) and store them in a unified ChromaDB vector store for seamless mapping. Using the Google Maps API and custom routing logic, I will build an intelligent framework that automatically combines transport modes and ranks itineraries based on user preferences for cost and speed. My background in building automated data extraction pipelines and complex ML models ensures I can deliver a reliable, high-performance solution for your multi-modal travel challenges.
₹10.000 INR in 7 Tagen
0,0
0,0

I will develop an intelligent travel route optimizer that combines bus, train, and flight options into one unified system. Using Python, web scraping, Google Maps API, and LangChain, the system will collect schedules, fares, and locations, then generate the best routes based on user preferences such as cheapest, fastest, or balanced travel. If direct routes are unavailable, it will automatically suggest multi-mode journeys (e.g., bus + train or train + flight) with transfer details. The solution will be modular, scalable, and easy to enhance with real-time APIs in the future. I will ensure clean data processing, efficient route selection, and a simple user interface. Regular updates and testing will be provided to guarantee a reliable final product within the agreed timeline.
₹5.000 INR in 8 Tagen
0,0
0,0

I can build a unified travel planner system that combines buses, trains, and flights in a single platform. Using web scraping, the system collects timings, fares, and locations, maps all travel hubs, and finds the best routes using the Google Maps API and LangChain agentic framework. The solution intelligently combines different modes of transport if a direct route isn’t available, checks seat availability, and ranks results based on user preferences (cheapest, fastest, or balanced). The final dashboard provides clear, actionable travel plans, saving users time and simplifying trip planning. I have experience building interactive dashboards and automated data-driven tools, and I can deliver a functional, reliable system quickly.
₹10.000 INR in 3 Tagen
0,0
0,0

Hi! I have experience building web scrapers and LangChain-based agentic systems - this project combines both of my core skills. My approach: 1. Data Collection: Python scrapers for bus, train, and flight data sources - schedule scraping with BeautifulSoup/Playwright, storing in structured format with timing, fares, locations. 2. Travel Hub Map: Graph data structure connecting bus stops, train stations, airports as nodes with travel routes as weighted edges (time, cost, transfers). 3. Agentic Framework: LangChain agent with Google Maps API tools for route optimization. The agent searches for direct routes first, then combines multi-modal options (bus+train, train+flight) when direct routes are unavailable. 4. Availability Check: Real-time seat availability verification via scraped data or API calls. 5. Ranking Engine: User preference-based ranking (cheapest, fastest, balanced) with clear travel plan output. Tech: Python, LangChain, Google Maps API, BeautifulSoup/Playwright, FastAPI for API endpoint. Delivery: 7 days with working demo. Ready to discuss data sources and specific requirements.
₹7.000 INR in 7 Tagen
0,0
0,0

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