CampusFind AI AI-powered Campus Lost & Found Platform
What I Built I built CampusFind AI , an AI-powered Lost & Found platform designed to help students recover lost belongings on campus. The idea came from a simple problem: when a student loses something on campus, finding it again can be surprisingly difficult. They may post about it in WhatsApp groups, ask friends, check with security, or simply hope someone found it. At the same time, students…
CampusFind AI is an AI-powered Lost & Found platform designed to assist college students in recovering misplaced belongings. The platform addresses the issue of students struggling to locate lost items, often resorting to WhatsApp groups, friend inquiries, or security checks. Meanwhile, individuals who find items lack a straightforward method to identify their rightful owners.
CampusFind AI streamlines the process by providing a centralized platform for students to report lost and found items. Through the inclusion of descriptions and images, the system utilizes AI to analyze these details and identify potential matches. Instead of solely relying on exact keywords, the matching algorithm takes into account various factors such as item category, description, color, material, distinctive features, location, date, and image-based attributes.
The primary objective of CampusFind AI is to simplify the process of recovering lost belongings for students. The project was built as a practical solution for college campuses rather than a mere prototype. It was deployed with a frontend hosted on Vercel and a backend using a cloud MySQL database. The codebase is available on GitHub, featuring the frontend created using React and Vite, and the backend developed with Java and Spring Boot.
Authentication and authorization are integral components of the platform, enabling students to manage their own reports while allowing administrators to handle claims and returned items. The open innovation aspect of the project allows developers to leverage AI-powered solutions without the need to build every component from scratch.
By utilizing AI, CampusFind AI transforms unstructured information, such as a student's description of a lost item, into structured data that can be compared against reported found items. This approach enhances the system's flexibility compared to a basic keyword-based search. Open innovation also fosters experimentation, learning, and the modification of existing ideas, empowering students and independent developers to build solutions tailored to their own communities.
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