Nostalgic Mirror

Teammates working
Teammates working

Inspiration

Our inspiration originated from the aspiration to offer users a time-travel experience, enabling them to journey into their past. Recognizing the innate human inclination to cherish and revisit cherished memories, we pondered the idea of crafting a magical mirror. This mirror serves as a portal to the past, inviting users to relive those precious moments in a captivating and nostalgic manner.

What it does.

A virtual mirror software with a webcam that waits for people to walk in front of it, then show them nostalgic memories of them together from their uploaded photo albums through a web app. It uses facial recognition to identify people standing in front of the mirror, then search for their faces on their uploaded albums.

How we built it

Mirror: Pygame for visuals, OpenCV and DeepVision for facial recognition

Frontend: Crafted using HTML, CSS, and React.js.
Backend: Developed with Flask (Python).
Database: Utilized MongoDB.

Challenges we ran into

Facial Recognition: Faced challenges in achieving accurate facial recognition using OpenCV, encountering low accuracy and requiring extensive troubleshooting.
API Endpoint Connectivity: Encountered difficulties in connecting API endpoints within the backend.
Integration Complexity: Navigated challenges in seamlessly integrating frontend, backend, and the Computer Vision aspect.

Accomplishments that we're proud of

Successfully achieved the development of a visually appealing website, showcasing a reasonably accurate facial recognition algorithm.

What we learned

Through collaborative efforts, we gained valuable experience in utilizing Flask, MongoDB, and integrating REST APIs, marking our initial exposure to these technologies.