LocalFlow

Inspiration: LocalFlow was inspired by the inefficiencies in event planning, especially within student and local community environments. Finding vendors often involves searching across multiple platforms, contacting vendors individually, and making decisions without clear comparisons. At the same time, many local vendors struggle to reach the right audience and miss opportunities that match their services. We wanted to build a solution that simplifies this process and creates a more direct connection between organizers and vendors.

What it does: LocalFlow is a platform that helps event organizers quickly find and connect with nearby vendors. Users can create an event by entering details such as location, number of guests, budget, date, and time. Based on this input, the platform provides vendor recommendations with match scores and explanations of why each vendor is a good fit. It also generates outreach messages to simplify communication. Vendors can create profiles, showcase their offerings, and get matched with relevant events, helping them access more business opportunities.

How we built it: We built LocalFlow using a modern frontend approach with component-based design. The interface was developed using v0-generated components combined with Tailwind styling to create a clean and responsive user experience. The application was deployed on Vercel. The matching system was simulated using structured logic based on factors such as category, distance, rating, and budget. This allowed us to demonstrate intelligent recommendations without building a full backend system.

Challenges we ran into: One of the main challenges was the lack of real-time collaboration within our tools, which required us to work in parallel and combine components later. Maintaining consistent design across different parts of the application was also challenging. Another difficulty was creating realistic AI-like recommendations without a backend or real data. We also had to ensure that the application flow felt smooth and functional for a live demo within a limited timeframe.

Accomplishments that we're proud of: We are proud of building a complete, end-to-end user flow that feels realistic and intuitive. The platform allows users to create events, view vendor recommendations, understand why those vendors are a good fit, and initiate contact within a single interface. We also successfully created a polished user interface and simulated intelligent matching in a way that makes the product feel practical and usable.

What we learned: Through this project, we learned how to design user-centered workflows under time constraints. We improved our ability to create clean and consistent interfaces, and we learned how to simulate advanced features such as AI-based matching using simple logic. We also gained experience in teamwork, coordination, and rapidly iterating on ideas to reach a functional and polished result.

What's next for LocalFlow: The next step for LocalFlow is to build a full backend with real vendor data and live matching. We plan to integrate a real geolocation and recommendation system, along with messaging features for direct communication between organizers and vendors. Additional improvements include vendor analytics, booking and payment integration, and expanding the platform to support a wider range of event types and locations.