Talk Intermediate First Talk

My first deep learning project (FRAS)

Review Pending

Session Description

My Face Recognition Attendance System is an advanced AI-driven solution I developed to streamline attendance tracking for schools, offices, and events. I built it using Python, OpenCV, Haar Cascade Classifier, Convolutional Neural Network (CNN), and Tkinter for the user interface, allowing me to automate the attendance process with high accuracy by recognizing faces in real-time.

The system captures face samples, which are analyzed to create a unique model for each individual. Once set up, it accurately identifies individuals, records their attendance, and stores it in a SQL database. Additionally, I included an option to export attendance data to Excel for convenient record-keeping. This robust system is efficient in speed and accuracy and offers a scalable solution for various environments where attendance tracking is essential.

References

https://ganesh-portfolio-site.vercel.app/

Session Categories

FOSS

Speakers

ganesh agrahari Student | Bbd university Lucknow

I am currently pursuing a Bachelor of Computer Applications (BCA) with a specialization in Data Science (DS) and Artificial Intelligence (AI). My technical expertise spans various projects, showcasing my understanding of AI and data-driven solutions.

Here are some highlights of my work:

1. Team Leadership in AI Projects: I lead a team of three on a project aimed at youth skill development through an AI-based platform. This platform assesses users' skills, suggests areas for improvement, and provides personalized learning paths with periodic assessments and guidance.

2. Face Recognition Attendance System: I developed an advanced attendance tracking system using Python, OpenCV, Haar Cascade Classifier, CNN, and Tkinter. Designed for schools, offices, and events, this system automates attendance through facial recognition, stores records in an SQL database, and offers Excel export options for efficient tracking.

3. Movie Recommendation System: I built a recommendation engine using Streamlit and various Python libraries like numpy, pandas, sklearn, and nltk. Based on a Kaggle dataset, the system provides movie suggestions with poster visuals, showcasing my skills in machine learning and data transformation.

4. Portfolio Website: I created a responsive portfolio website using the Next.js framework and deployed it on Vercel, highlighting my web development skills.

5. Power BI Skills: I maintain a GitHub repository dedicated to a Reliance sales report created with Power BI, reflecting my data visualization and analytical abilities.

My work reflects a strong focus on practical AI solutions, a passion for both team leadership and personal project development, and a commitment to advancing my skills in data science and artificial intelligence.