hackquest logo

AI Face Recognition Attendance System

The AI Face Recognition Attendance System is an advanced solution designed to automate attendance tracking with enhanced security and efficiency. This system leverages facial recognition

Videos

Description

The AI Face Recognition Attendance System is an advanced solution that automates attendance tracking using facial recognition technology. It eliminates manual processes, ensuring accuracy, security, and efficiency in workplaces and educational institutions.

A unique feature of this system is emotion detection, which analyzes facial expressions to gain insights into individuals' emotional states during check-in and check-out. This adds a behavioral dimension to attendance monitoring.

Additionally, the system includes a real-time email notification feature. Each time a person enters or exits, an automated email is sent to their registered email address, keeping them informed about their attendance status.

Powered by AI and deep learning, the system ensures high accuracy, even in varying lighting conditions, reducing the risk of proxy attendance and errors. With its automation, security, and analytics, this system transforms traditional attendance tracking into a modern, smart, and reliable process.

Progress During Hackathon

0

Tech Stack

Python
Machine learning
Deep learning
openCV
HTML
CSS
JS
Flask

Fundraising Status

"Fundraising Status" field typically refers to the stage of funding a project or company is in. You can fill it with one of the following based on your situation: Pre-seed (Initial funding, often from personal savings or friends/family) Seed (Early-stage funding from angel investors or venture capitalists) Series A/B/C (Growth-stage funding from institutional investors) Crowdfunding (If raising funds via Kickstarter, GoFundMe, etc.) Bootstrapped (If self-funded without external investment) Grant-funded (If funding comes from grants or government programs) Public/IPO (If the company is listed on a stock exchange)

Team LeaderAAnshu Kumari
Sector
AI
Winner Track
Champion

First Place

DevSummit 2025