AI & Data Science undergraduate spanning IIT Guwahati and UIET Kurukshetra. Specializing in Deep Learning, Computer Vision, and architecting ML models from raw data to actionable insights.
Spearheading research on biomechanical gait analysis using Explainable AI. Classified complex kinematics data using Cubic SVM and Logistic Regression to predict FAC scores for post-stroke rehabilitation, paving the way for upcoming journal publication.
Engineered an ML-based early warning risk management system. Deployed Random Forest models to predict stock risk levels and integrated the Gemini API to execute real-time NLP sentiment analysis on financial news.
Developed a diagnostic ML pipeline classifying stroke vs. healthy gait using kinematics entropy data. Achieved 92.3% accuracy and utilized SHAP/LIME to identify pelvic and hip dynamics as primary predictors.
View RepositoryA sophisticated application utilizing a custom YOLOv8 model to accurately recognize Indian cuisine from images. Integrated a robust calculation engine for portion-based macro breakdowns and dietary restriction safety checks.
View RepositoryArchitected a FinTech risk assessment tool fusing traditional financial metrics (VaR, Sharpe Ratio) with LLM-based sentiment analysis on market news. Visualized real-time market data through an interactive Streamlit dashboard.
View RepositoryMy full research presentation detailing kinematics data interpretability using Explainable AI for stroke patients.
Architecture breakdown and live demonstration of the early warning system.
Project presentation covering the YOLOv8-based Indian food detection and nutrition analysis system.