Undertook a semester project predicting Nepal Stock Exchange (NEPSE) stock prices using LSTM neural networks. Scraped real-time
data, preprocessed it, and built an LSTM model for forecasting. Enhanced skills in Python, data scraping, machine learning, and
time-series analysis, showcasing the application of advanced neural network techniques to financial data.

This project focuses on Knowledge Gap Analysis and Module Creation using NLP. It generates dynamic quizzes to assess a user’s
understanding of a topic, identifies areas of improvement, and creates personalized study modules based on the results, offering an
adaptive learning experience

Developed a PDF Answer Retrieval system using LangChain for NLP, implemented in Flutter for cross-platform compatibility. Users can
upload PDFs and query specific information, receiving precise answers. Showcased expertise in NLP, Dart programming, and mobile app
development.

A multi-vendor app using Flutter, Node.js, and MongoDB enables seamless product and order management across vendors, offering cross-platform consistency, real-time interactions, and scalable data handling.

Developed a comprehensive food delivery app using Flutter for iOS and Android. Features include user authentication, restaurant browsing, menu selection, order placement, real-time tracking, and payment integration. Also implemented user reviews, favorites, and push notifications. Showcases skills in Dart, mobile development, and UI/UX design, with focus on cross-platform performance and
intuitive interfaces.

Developed an OMS with Qt , enhancing scheduling, resource allocation, and employee management, gaining experience in C++