π B.Tech CSE Student
π€ AI & Machine Learning Enthusiast
π Aspiring Data Science Engineer
π Open Source Contributor & GSoC Aspirant
- π± Currently learning Advanced Machine Learning, Generative AI, and Full-Stack Development
- π Working on AI Attendance System using Face Recognition and Voice Authentication
- π§ Interested in Machine Learning, Deep Learning, Computer Vision, NLP, and Generative AI
- π‘ Passionate about solving real-world problems using AI
- Python
- JavaScript
- SQL
- Scikit-Learn
- PyTorch
- Transformers
- OpenCV
- NumPy
- Pandas
- React
- Streamlit
- Flask
- FastAPI
- PostgreSQL
- Supabase
AI-powered attendance platform using:
- Face Recognition
- Voice Authentication
- QR-Based Subject Enrollment
- Streamlit + Supabase
End-to-end ML pipeline using:
- Logistic Regression
- KNN
- Naive Bayes
- Feature Engineering & EDA
Clinical Metadata Harmonization Dashboard contribution proposal.
- GitHub: https://github.com/Sanskar-dev786
- LinkedIn: https://linkedin.com/in/sanskar-pandey786
β If you like my projects, feel free to star them!