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neha-khatry/README.md

Hi, I'm Neha 👋

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


🚀 Projects

🛡️ Aawaj: Smart Safety App (Major Project)

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
  • 🔗 GitHub

💰 Piggu: CashCare App (Minor Project)

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
  • 🔗 GitHub

❤️ Heart Disease Prediction

ML pipeline to predict heart disease using clinical patient data.

  • Compared Random Forest, Logistic Regression and XGBoost on 303 patient records
  • Best model: Random Forest — 83.6% accuracy, 0.91 ROC-AUC
  • Applied GridSearchCV hyperparameter tuning across 540 combinations
  • Stack: Python, Scikit-learn, XGBoost, Jupyter Notebook
  • 🔗 GitHub

🍱 Food Adulteration Health Risk Detection

ML model to classify health risks caused by food adulteration, with an interactive web app.

  • Data preprocessing, feature selection, and Gradient Boosting model training
  • Built a Streamlit web app for real-time risk prediction
  • Stack: Python, Pandas, Scikit-learn, Streamlit, Jupyter Notebook
  • 🔗 GitHub

🎬 Movie Ticket Booking System

Console-based ticket booking system using OOP concepts.

  • Seat selection and basic booking management
  • Stack: C++
  • 🔗 GitHub

🛠️ Tech Stack

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


📜 Certifications

  • 📘 Programming for Everybody — University of Michigan / Coursera ✅
  • 📘 Python Data Structures — University of Michigan / Coursera ✅
  • 📘 Using Python to Access Web Data — University of Michigan / Coursera ✅
  • 📘 Using Databases with Python — University of Michigan / Coursera (In Progress)

🎯 Currently

  • 📚 Completing Python for Everybody specialization on Coursera
  • 🔍 Open to internship opportunities in Flutter development and ML
  • 🛠️ Strengthening ML foundations through independent projects and courses

📫 Connect with Me

LinkedIn · GitHub

Pinned Loading

  1. Food_Adulteration_Health_Risk_using_ML Food_Adulteration_Health_Risk_using_ML Public

    Jupyter Notebook

  2. aawaj_smart_safety_app aawaj_smart_safety_app Public

    Personal safety Android app with SOS alerts, AI scream detection and mental health chatbot

    Dart

  3. heart-disease-prediction heart-disease-prediction Public

    ML project to predict heart disease using Random Forest, Logistic Regression and XGBoost

    Jupyter Notebook

  4. Movie_Ticket_Booking_System Movie_Ticket_Booking_System Public

    Console-based movie ticket booking system built with C++ using OOP concepts

    C++

  5. Piggu-CashCare Piggu-CashCare Public

    Personal financial management mobile app

    Dart