🎓 Student at Islamic University, Bangladesh
🤖 Machine Learning enthusiast with growing experience in computer vision, NLP, and research-oriented projects
🧪 Interested in building practical AI tools, experimenting with ML pipelines, and creating real-world applications
🚀 Actively working on ML-based projects and always learning something new
📚 Exploring areas like chatbot development, data analysis, skin-tone based recommender systems, and EDA workflows
An AI-driven application that analyzes a user’s image, detects their skin tone, and recommends the most suitable clothing colors.
- Takes an image input (uploaded or captured)
- Detects skin regions & extracts skin pixels
- Classifies skin tone using color-space analysis
- Determines undertone (warm / cool / neutral)
- Recommends colors that match the user’s complexion
- Python
- OpenCV
- NumPy
- Scikit-learn
- Matplotlib (for visualization)
- VS Code (development environment)
- Works with both uploaded images and real-time photos
- Accurate skin detection using color masking
- Automatic undertone classification
- Personalized color recommendations
- Ready to convert into a web app or mobile app interface
- Machine Learning
- Computer Vision
- NLP Research
- Python (main language)
- Data Preprocessing & EDA
- Chatbot and agent-based system development
- Building ML applications in VS Code
- Research writing & academic analysis
- Skin Tone–Based Clothing Recommender App (full UI version)
- ML-based sentiment analysis / depression detection
- A custom CSE Department Chatbot
- ML portfolio datasets & mini projects
- 💼 GitHub: PavelMontasir
- 📧 Email: pavelmontasir@gmail.com
⭐ Feel free to explore my repositories. I’m continuously improving my ML skills and building new projects!