Computer Engineering student from Kathmandu Engineering College, TU. I enjoy building mobile applications and working with machine learning, particularly training models and seeing them solve real problems. Currently deepening my Python and ML foundations and open to internship opportunities.
📍 Kathmandu, Nepal
Personal safety Android app with AI-powered emergency detection.
- Trained SVM-based scream detection model — 90% accuracy, AUC 0.948
- Built mental health chatbot classifying 14 emotional intents — 81.43% accuracy
- Built phrase detection for English + Romanized Nepali — 82.93% accuracy
- Integrated all ML models with Django REST backend and Flutter frontend
- Stack: Flutter, Django, PostgreSQL, Firebase, Python, Scikit-learn
Personal finance management app built for Nepal.
- SMS parsing for automatic transaction tracking from eSewa, Khalti, banks
- OCR-based receipt scanning using Tesseract
- XGBoost spending prediction with personalized recommendations
- Stack: Flutter, Django, PostgreSQL, Firebase, Python, XGBoost
- ML model to classify health risks caused by food adulteration
- Data preprocessing, feature selection, and model training
- Stack: Python, Pandas, Scikit-learn, Jupyter Notebook
- Console-based ticket booking system using OOP concepts
- Seat selection and basic booking management
- Stack: C++
Mobile & Backend Flutter · Dart · Django · Python · REST APIs
Machine Learning Scikit-learn · XGBoost · TF-IDF · SVM · MFCC · Librosa · Pandas
Databases PostgreSQL · Firebase
Tools Git · GitHub · Android Studio · VS Code · Jupyter Notebook
- 📘 Programming for Everybody — University of Michigan / Coursera ✅
- 📘 Python Data Structures — University of Michigan / Coursera (In Progress)
- 📚 Completing Python for Everybody specialization on Coursera
- 🔍 Open to internship opportunities in Flutter development and ML
- 🛠️ Strengthening ML foundations through independent projects and courses