MCP-Auto-ML
An automated machine learning system that extends LLM capabilities through the Model Context Protocol, enabling direct code execution and cloud deployment.
- Implemented a complete ML pipeline with 10 specialized tools following the Model Context Protocol standard.
- Developed data ingestion tools using Kaggle API and pandas for efficient dataset management.
- Created automated data processing pipeline with missing value handling and categorical encoding.
- Built model training system supporting multiple algorithms (Logistic Regression, Random Forest, SVM).
- Integrated AWS S3 for model persistence and MongoDB for data storage.
- Achieved 94.57% accuracy on heart disease dataset using optimized hyperparameters.
Roguelike Game
A complex roguelike game developed in C/C++ featuring procedural dungeon generation, NPC AI, and interactive gameplay mechanics.
- Implemented procedural dungeon generation with rooms, corridors, and rock formations.
- Developed file I/O system for saving and loading game states with cross-compatibility.
- Created pathfinding system using Dijkstra's Algorithm for both tunneling and non-tunneling NPCs.
- Integrated curses interface for interactive gameplay and fog of war mechanics.
- Implemented monster and object parsing system with custom descriptions.
- Added combat system with hit points and damage dice mechanics.
- Enhanced gameplay with background music and sound effects.
Android App: Netherite Notetaking
AI-powered note-taking app featuring speech-to-text, translation, and AI-powered notes.
- Worked with a team of 4 to create an AI-powered note-taking app.
- Currently handling backend development by creating APIs for frontend use.
- Tech stack: Spring Boot, Java, Maven, MySQL.
Interactive Data Analysis Platform
Website allowing users to upload CSV files and request graph generation, data manipulation, and basic machine learning models.
- Created a website for data analysis and visualization.
- Integrated AI with OpenAI's API for generating automated Python scripts.
- Used Gemini API to analyze pictures and tables generated by users.
- Tech stack: HTML, CSS, JavaScript, Python, Flask, MongoDB, Render.
Save the Players!
Analyzed player injury likelihood in soccer using machine learning techniques.
- Analyzed player injury likelihood in soccer using a dataset of 1,903 players.
- Created visualizations to identify patterns in injury data.
- Applied logistic regression, decision trees, and KNN for prediction.
- Results provided insights into injury risks based on player positions.
Discord Trivia Bot
Highly accurate Discord bot for handling trivia quizzes with score tracking and multi-server support, deployed on AWS EC2 for continuous availability.
- Engineered a Discord bot for trivia quizzes with score tracking and leaderboard features.
- Deployed the bot on AWS EC2 for 24/7 availability and reliable performance.
- Implemented CI/CD pipeline using GitHub Actions for automated deployment to EC2.
- Utilized Docker for containerization to ensure consistent deployment and operation.
- Integrated MySQL database to store and manage user data.
- Used Discord UI to create buttons for user-friendly gameplay.
- Utilized Google Translate API to provide support for over 25 languages.
Coding Journal
Terminal-based program for storing and retrieving journal entries with MySQL database integration.
- Created a terminal-based program that stored user data entries into a MySQL database.
- Designed an application for creating, modifying, and retrieving journal entries by date.
- Implemented search functionality by querying the database.
Machine Code Translator
Java-based system for decoding machine code into LEGv8 assembly instructions using bit manipulation techniques.
- Created a class to manage and manipulate 32-bit binary numbers.
- Implemented a class to read binary files and convert them into assembly language.
- Ensured 95% accuracy with label management and conditional branching.
NEO4J & MySQL Database Management
Created and optimized databases using Neo4j and MySQL, with a focus on data integrity and query optimization.
- Created structured Entity-Relationship diagrams for organizational databases.
- Imported CSV files into Neo4j and MySQL environments.
- Developed and optimized query statements for enhanced efficiency.