Hey, I'm
Computer Engineering Student | AI & Medical Imaging Enthusiast
Turning complex medical images into actionable insights using deep learning. Passionate about Computer Vision, Image Processing, and building AI that helps healthcare.
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About Me
I'm a Computer Engineering student deeply passionate about Artificial Intelligence, Medical Image Analysis, Computer Vision, and Image Processing. I've built real‑world systems like a Face Recognition Attendance System and am currently exploring how deep learning can assist in medical diagnostics.
I love turning images into data and data into decisions. My goal is to design and deploy AI models that make a tangible impact — especially in the medical sector, where early detection can save lives. Data Science is a tool I use along the way, but my heart lies in building AI that sees and understands like a specialist.
Location: Syangja, Gandaki Province, Nepal
Featured Projects
Pothole Detection System
Deep Learning | YOLO | Computer Vision
Real‑time pothole detection from road images using a custom‑tuned YOLO model. Deployed with Flask and optimized for edge devices.
Intel Image Classification
TensorFlow | CNN
Classified landscape images into 6 categories using a CNN with 85% accuracy. Strong focus on data augmentation and transfer learning.
Fruits 360 Classification
CNN | TensorFlow
Achieved 92% accuracy across 131 fruit categories using efficient CNN architecture and aggressive data augmentation.
House Price Prediction (Nepal)
Scikit-learn | Pandas
Built Linear Regression and Random Forest models with comprehensive EDA for housing data in Nepal. Feature engineering improved R² by 15%.
Student Performance Analysis
ML | Feature Selection
Predicted academic outcomes using multiple ML algorithms. Interpretability with SHAP values and feature importance.
Web Attendance System
Flask | MySQL
Full‑stack attendance tracking system with admin dashboard, real‑time clock‑in/out, and report generation.