- 🔭 I'm currently working on Computer Vision & AI Solutions
- 🌱 I'm currently learning Artificial Intelligence, Deep Learning, Computer Vision
- 👯 I'm looking to collaborate on Open Source Projects
- 💬 Ask me about AI, ML, Data Science, Data Engineering, Cloud, Solutions Architect
- 📫 How to reach me: LinkedIn | chandrasekhar090591@gmail.com
- ⚡ Fun fact: I love hiking and going on long drives 🚗⛰️
Description: An ML-powered system for real-time sign language recognition and fall detection. Features MediaPipe Holistic for gesture detection, YOLOv8-pose for human pose estimation, and LSTM networks for temporal sequence classification. Includes data collection tools, Colab training notebooks, and real-time detection with email notifications.
- Tech Stack: Python, Machine Learning, Deep Learning, Computer Vision, MediaPipe, YOLOv8, LSTM
- Features:
- Real-time sign language recognition using MediaPipe Holistic
- Fall detection with YOLOv8-pose and LSTM networks
- Automated email notifications for critical events
- Data collection and training pipeline with Google Colab integration
Description: Computer Vision & ML automation system for LinkedIn job analysis with OCR, ML predictions, and automated email reports.
- Tech Stack: AI, Machine Learning, Computer Vision, Deep Learning, OCR
- Features:
- Automated job posting extraction using OCR technology
- ML-powered job relevance prediction and filtering
- Automated email reports with job recommendations
- LinkedIn job board analysis and insights
Description: Advanced computer vision application with facial recognition, emotion analysis, and real-time image processing for intelligent employee attendance tracking using OpenCV, DeepFace, and Flask.
- Tech Stack: Machine Learning, Deep Learning, CNN, OpenCV, DeepFace, Flask, Multi-Modal Emotion Analysis
- Features:
- Real-time facial recognition for attendance tracking
- Multi-modal emotion analysis during check-in/check-out
- Web-based dashboard with Flask backend
- Automated attendance reports and analytics
