Mohit

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19,

I'm a computer applications student at LPU, exploring software development and building things for the web.

You'll find me sharing thoughts on X, or you can reach me at mohitrajpurohit.work@gmail.com.

LeetCode

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Projects

AAI Resume Builder
  • AI-powered resume builder that helps users create polished resumes with Gemini-driven content suggestions.
  • Generates tailored improvements for resume sections, helping users refine descriptions and highlight relevant skills.
  • Built with React, TypeScript, Node.js, Express, MongoDB, and the Gemini API.
EExpense Tracking System
  • Categorized expense tracker that helps users monitor spending, analyse expenses, and make informed budgeting decisions.
  • Combines a structured database with an interactive dashboard to organise transactions and surface spending patterns.
  • Built with Python, FastAPI, Streamlit, and MySQL.
FFood Delivery System
  • MVC-based food ordering system that streamlines order management through structured workflows and organised application logic.
  • Separates business logic, data handling, and user interface components to maintain a modular and maintainable architecture.
  • Built with Java, Object-Oriented Programming, MySQL, and the MVC architecture.
OObject Detector
  • YOLO-based object detection system that identifies and localises real-world objects in images.
  • Uses computer vision to detect multiple object classes efficiently, with bounding boxes highlighting detected objects.
SSentiment Analysis App
  • LSTM-based sentiment analysis engine that classifies text as positive, negative, neutral, or sarcastic.
  • Uses deep learning to identify sentiment patterns in text and serves predictions through a lightweight API.
  • Built with Python, TensorFlow, LSTM, FastAPI, and Scikit-learn.
GGaming Industry Analysis
  • Data-driven analysis of gaming industry trends over time, uncovering patterns across games, platforms, and market performance.
  • Transforms raw datasets into clear visualisations that highlight industry trends and support data-driven insights.
  • Built with Python, Pandas, and Matplotlib.
SSmoking Drinking Prediction
  • Machine learning model that predicts smoking and drinking risk using health indicators and lifestyle data.
  • Applies logistic regression to classify risk patterns and explore relationships between health metrics and personal habits.
  • Built with Python, Scikit-learn, Pandas, Matplotlib, and Seaborn.
MMyContacts Backend
  • RESTful backend that enables secure contact management through structured CRUD operations and organised data handling.
  • Provides API endpoints for creating, retrieving, updating, and deleting contacts with MongoDB-backed persistence.
  • Built with JavaScript, Node.js, Express, MongoDB, and REST APIs.
#Todo List
  • Lightweight to-do manager that helps users organise daily tasks through a clean, responsive interface.
  • Simplifies task management with an intuitive layout designed for quick updates and everyday productivity.
  • Built with HTML, CSS, and JavaScript.

Career

AAswath Software

Software Engineer Intern · June 2025 – August 2025

  • Developed backend features and RESTful APIs using Java, improving application functionality and business logic.
  • Designed and optimised SQL databases, refining schemas, queries, and data handling for reliable performance.
  • Automated business workflows using Camunda BPM and collaborated on debugging, testing, and API optimisation.