Hey there! I'm Vaibhav U Pratap — an AI/ML engineer and full-stack developer from Bengaluru, India 🇮🇳, currently in my second year of B.Tech CSE (AI/ML) at Dayananda Sagar University (CGPA: 8.86).
I love building things that sit at the intersection of intelligent systems and real-world impact — from healthcare platforms to computer vision pipelines to EEG neuroscience research.
🎓 B.Tech CSE (AI/ML) @ Dayananda Sagar University, Bengaluru (2024–2028) 🏆 Hackverse 2025 — 2nd Place with HealthCore 📜 Harvard CS50x · CS50AI · CS50P — Certified 🔬 Currently researching EEG-based cognitive effects of mindfulness (IBSR method) 🌱 Always exploring new frontiers in Deep Learning & Computer Vision 🇯🇵 Learning Japanese — aspiring for JLPT certification 💬 Ask me about ML, Flask, React, OpenCV, or YOLO 📬 Reach me at vaibhavupratap@gmail.com
Rural health monitoring platform with real-time vitals tracking, ML-powered risk prediction, and emergency response integration. Deployed and live. Stack: |
An intelligent teaching assistant that clones a teacher's explanatory style using LLMs — delivering personalized, adaptive learning experiences for students. Stack: |
Real-time AI surveillance system that detects threatening situations around women students using pose estimation and behavior analysis, triggering instant alerts. Stack: |
Detects gradual and abrupt behavioral drift in individuals using time-series profiling and adaptive thresholding — applicable to security, mental health, and surveillance. Stack: |
Predicts solar panel power output from meteorological features (irradiance, temperature, humidity) using ensemble ML models with robust feature engineering. Stack: |
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Languages
AI / ML
Web Development
Databases & Tools
| 🏅 Achievement | 📅 Year | 🔗 |
|---|---|---|
| 🥈 Hackverse 2025 — 2nd Place (HealthCore) | 2025 | HealthCore |
| 🎓 Harvard CS50x — Introduction to Computer Science | 2024 | Harvard / edX |
| 🤖 Harvard CS50AI — AI with Python | 2024 | Harvard / edX |
| 🐍 Harvard CS50P — Programming with Python | 2024 | Harvard / edX |
| 🧪 ML Internship — Humans Care Foundation | 2024 | ATM Security (YOLO + OpenCV) |
EEG-Based Cognitive Analysis of Byron Katie's "The Work" (IBSR)
Investigating the neurological impact of The Work mindfulness methodology on stress and cognitive load using:
- Hardware: Emotiv EPOC EEG headset (14-channel)
- Analysis: Frontal Alpha Asymmetry (FAA), event-marker preprocessing
- Tools: MNE-Python, NumPy, Matplotlib, custom preprocessing pipelines
- Goal: Quantify measurable cognitive change in meditation/therapy interventions
"The best way to predict the future is to build it."