I am a student interested in Artificial Intelligence, Machine Learning, and Computer Vision.
I enjoy building projects that apply AI and data analysis to real-world problems.
- YOLO Alert System β Real-time object detection system using YOLOv8 and OpenCV that triggers alerts when specific objects are detected.
- YOLO Object Counter β Application that detects and counts objects from a live webcam feed using YOLO and OpenCV.
- Face Recognition Attendance System β Python system that automatically records attendance by recognizing faces using OpenCV and the
face_recognitionlibrary.
- Scikit-Learn Machine Learning Projects β Collection of projects demonstrating classification, prediction, and evaluation using Scikit-learn.
- Neural Networks & Deep Learning Projects β Deep learning experiments using TensorFlow including model training, evaluation, and image classification.
- Pandas Data Analysis Projects β Data analysis projects using Pandas and NumPy including data cleaning, filtering, visualization, and time-series analysis.
- Programming: Python
- Computer Vision: OpenCV, YOLOv8, Face Recognition
- Machine Learning: Scikit-learn, TensorFlow
- Data Analysis: Pandas, NumPy
- Tools: Git, GitHub
- Artificial Intelligence
- Computer Vision
- Machine Learning
- Data Science
- Real-time AI systems
You can explore my projects and experiments here on my GitHub profile.