AI-Powered Campus Lost-and-Found System

Project Description

The AI-Powered Campus Lost-and-Found System is a smart, centralized platform designed to help students, faculty members, and staff report, search for, and recover lost belongings within a campus. Traditional lost-and-found processes often rely on notice boards, social media groups, or word of mouth, making it difficult to connect lost items with their rightful owners.

This project uses Artificial Intelligence to make the process faster, easier, and more efficient. Users can report lost or found items by providing details such as the item name, description, location, date, and an image. The system intelligently analyzes these details to identify potential matches between lost and found reports.

By using AI-powered image recognition and text similarity, the platform can recommend matching items even when users describe the same object differently. For example, a student searching for a lost black backpack can receive suggestions for a found dark-colored school bag reported by another student.

The system also provides a user-friendly interface for browsing reported items, viewing potential matches, submitting ownership claims, and tracking the status of lost belongings. Verification mechanisms help ensure that items are returned to their legitimate owners.

Key Features

• Lost Item Reporting: Submit reports with descriptions, images, dates, and locations.
• Found Item Reporting: Register found belongings so their owners can identify and claim them.
• AI-Powered Matching: Compare item descriptions and images to suggest potential matches.
• Smart Search: Search and filter items by category, location, date, and keywords.
• Ownership Verification: Allow users to provide evidence or identifying details to support their claims.
• Claim Management: Track claims and item recovery status.
• Notifications: Inform users when potentially matching items are found.
• Admin Dashboard: Enable authorized administrators to manage reports, review suspicious claims, and maintain platform integrity.

Objective

The primary objective is to reduce the time and effort required to recover lost belongings on campus by creating an intelligent, accessible, and reliable lost-and-found ecosystem.

Expected Impact

The project aims to improve campus communication, minimize the loss of valuable belongings, reduce manual work for campus administrators, and encourage a collaborative community where students and staff can help one another.

Target Users

• Students
• Faculty members
• Non-teaching staff
• Campus security personnel
• Lost-and-found administrators

Future Scope

The platform can be extended with real-time notifications, multilingual support, QR-code-based item tracking, mobile application integration, and advanced AI models for visual similarity detection.

In summary: This project combines AI, smart search, and a centralized reporting system to make finding lost belongings on campus simpler, faster, and more reliable.