Face Tally is an AI-driven application designed to detect and classify faces in both images and live video streams. Developed as my final project of the "Python for Data Science & AI Bootcamp" at Le Wagon Spain, the project leverages deep learning to perform accurate face counting and analysis.
Project Context
1 Week Development
Built by a team of 4 in just 8 days
100+ Audience
Presented live demo to tech enthusiasts
Teaching Offer
Led to an offer to become an Assistant Teacher at Le Wagon
Goal of the project: detecting and counting faces. The product is based on advanced face detection technology and can analyze faces across multiple formats and scenarios, providing detailed insights about detected individuals.
3 main features:
Static Images
Counting faces in static images with high accuracy
Live Video
Real-time face detection and counting in live video streams
AI Predictions
Age, gender, and mood prediction for each person