FaceSense is a comprehensive facial recognition system developed using Python, OpenCV, and SQL. This project utilizes the face_recognition library in python, along with OpenCV and mySQL, to enable efficient face encoding, saving and matching.

• Quick and Easy Face Encoding: FaceSense simplifies face encoding and saving from JPG images, streamlining the training of the facial recognition model by effectively encoding facial features.
• Secure Facial Feature Storage: Facial feature placement data is securely encoded and stored within the SQL database, ensuring privacy and confidentiality.
• Reliable Face Recognition: FaceSense harnesses the power of OpenCV and the face_recognition library to provide accurate face recognition capabilities, facilitating efficient and effective identification and matching of faces.
• Webcam Display with Real-time Feedback: FaceSense offers a user-friendly webcam display that showcases the real-time face recognition process, providing visual feedback by displaying recognized names associated with detected faces.

This project was developed under the guidance of Ms. Monica Dewan Ms. Vandana Sabharwal as part of the CBSE Class 12 Final Project.