🎓 4th Year Data Science Engineering Student at Mumbai University
💻 **Junior Machine Learning Engineer |
🏆 Smart India Hackathon 2023 Champion
Hi, I’m Kunal Chaugule! I’m passionate about solving complex problems through data-driven approaches and applying machine learning techniques to tackle real-world challenges. I’ve had the privilege of leading teams, managing projects, and contributing to innovative solutions like FITLIFE, which won the Smart India Hackathon 2023.
I’m always eager to explore new research opportunities and collaborate with diverse teams to drive innovation in Machine Learning and Computer Vision.
| Programming Languages | Libraries & Frameworks | Tools & Platforms | Domains |
|---|---|---|---|
| Python | OpenCV, TensorFlow, PyTorch | Git | Machine Learning |
| Java | Keras, Scikit-image, Matplotlib | AWS (Basic) | Computer Vision |
| SQL | NumPy, Pandas | Tableau | Image Processing |
| MATLAB | Data Science |
- Depth Perception: Real-time depth estimation using monocular camera systems.
- Developed a web app for pose estimation and exercise tracking using custom ML models.
- Integrated advanced computer vision technologies for real-time human pose estimation and exercise monitoring.
- Achievement: Won Smart India Hackathon 2023.
- Built a UNet 3+ model for polyp segmentation, achieving 92% IoU and 90% Dice Coefficient.
- Preprocessed medical imaging datasets for deployment-ready diagnostic pipelines.
- Developed a stereo ESP32-CAM simulation for depth estimation.
- Integrated machine learning-based navigation using TensorFlow and OpenCV.
- Created an interactive virtual piano using OpenCV and MediaPipe for hand movement detection and segmentation.
- Enabled dynamic screen-based musical interaction.
Feel free to fork or star my projects. Let’s connect and collaborate! 🚀