Find Me – AI Missing Person Face Recognition System
تفاصيل العمل
Find Me is an AI-powered missing person identification system designed to help users search for missing people using face recognition technology. The system allows users to upload a person’s image and compares it with stored records in the database to find possible matches with confidence scores.
The main goal of this project is to support missing-person search cases by combining Artificial Intelligence, Computer Vision, backend APIs, image storage, and mobile application flow in one complete system. Instead of relying only on manual searching, the system uses AI Face Matching to analyze uploaded images and return the most relevant matching results.
In this project, I worked on building and integrating the AI face recognition workflow. The process starts when a user uploads an image through the application. The image is then processed and compared against existing images stored in the database. The system returns possible matches based on facial similarity, along with confidence scores to help users evaluate the accuracy of each result.
The project also includes missing and found person reports, image storage, backend API integration, user notifications, and a mobile application flow that makes the search process easier and more organized. The AI part was designed to support real use cases where image comparison, fast searching, and structured data management are important.
My role in this project included working on the AI integration, backend logic, database connection, API flow, and connecting the face recognition process with the mobile application features. I focused on making the system practical, organized, and useful for real-world missing-person identification scenarios.
Python, Flask, Computer Vision, Face Recognition, MongoDB, React Native, Node.js, Express.js, Cloudinary, REST APIs
Find Me is an AI-powered missing person face recognition system that compares uploaded images with stored database records and returns possible matches with confidence scores. The project integrates Computer Vision, Face Recognition, backend APIs, MongoDB, image storage, mobile application flow, and user notifications to support real missing-person search scenarios.
GITHUB:https://github.com/Ahmed-...