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Report Lost Item Form – users can submit lost items with description and location.
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AI Matching Engine – compares lost and found items using Jaccard similarity.
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Admin Dashboard – view statistics, manage reports and reunite items.
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Homepage – Smart AI Lost & Found system landing page with quick actions.
Inspiration
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
Inspiration
People often lose valuable items in public places like colleges, offices, and transport areas. Finding these lost items becomes difficult because there is no centralized system to report and search for them. This inspired us to create an AI-powered Lost & Found platform that helps users quickly locate lost belongings.
What it does
Smart AI Lost & Found System allows users to report lost or found items by uploading photos and descriptions. The system uses AI-based matching to compare new reports with existing items and suggests possible matches instantly. Users can also search items and contact the finder through the platform.
How we built it
We built the frontend using HTML, CSS, and JavaScript to provide a simple and responsive interface. The backend is developed using Node.js and Express to handle user requests and data processing. MongoDB is used to store item details. AI-based matching is implemented to compare item descriptions and images for better search results.
Challenges we ran into
One of the major challenges was implementing accurate matching between lost and found items. Handling image uploads and organizing item data efficiently also required careful backend design.
Accomplishments that we're proud of
We successfully created a working prototype that allows users to upload lost items, search for them, and receive possible AI-based matches. The system demonstrates how technology can simplify the process of recovering lost belongings.
What we learned
Through this project we learned how to integrate AI concepts with web development, manage backend APIs, and design a system that solves a real-world problem.
What's next for Smart AI Lost & Found System
In the future we plan to add advanced AI image recognition, real-time notifications, mobile app support, and integration with public places such as colleges, airports, and railway stations.
What's next for Smart AI Lost & Found System
How we used GitLab Duo AI
We utilized GitLab’s AI-assisted development features to improve productivity and streamline our workflow. GitLab Duo helped us with code suggestions, debugging support, and structuring backend APIs efficiently.
We also leveraged AI concepts in our project to build an intelligent matching system that compares lost and found items using similarity algorithms. This allowed us to enhance search accuracy and provide better results to users.
Additionally, GitLab’s integrated version control and collaboration tools helped us manage our project effectively during the hackathon.
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