FaceFinder

Inspiration The idea for FaceFinder came during a fully funded fellowship program. We were asked to check our photos daily to post updates on LinkedIn, and I quickly realized how stressful and time-consuming manually sorting through hundreds of images could be. I thought, what if there were a smarter, faster way to find the exact photo you need?

What it does FaceFinder is an AI-powered platform that instantly locates personal photos across cloud storage. It uses facial recognition to match identities, helping users retrieve the images they care about without endless scrolling, all while keeping data secure and private.

How we built it We started by developing an MVP with a scalable cloud backend and a computer vision model for facial detection and matching. The system integrates with cloud storage to process images efficiently, and early testing has allowed us to refine accuracy, speed, and usability.

Challenges we ran into The biggest challenges were ensuring privacy and security, handling large volumes of images efficiently, and training the AI to recognize faces across different angles, lighting conditions, and devices. Each of these required careful experimentation and optimization.

Accomplishments that we're proud of We successfully launched an MVP with 30 active early users, built a functional AI pipeline, and validated that the product solves a real user problem. This early traction has given us valuable feedback for improvements.

What we learned We learned how to design scalable AI systems, balance technical performance with user experience, and incorporate privacy-first practices into AI tools. Most importantly, we confirmed that there is a real demand for tools that simplify digital photo management.

What's next for FaceFinder We plan to refine our computer vision model, expand our user base, and position FaceFinder as the go-to solution for personal and professional image organization. Long-term, we aim to evolve into a scalable platform that integrates across cloud ecosystems, helping individuals and organizations manage and access their digital memories effortlessly.

Built With

• database
• loveable
• openai