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niranjanhm21/README.md

GitHub Profile Banner

Hi, I'm Niranjan H M 👋

MCA Student | Aspiring Cloud Engineer | Software Developer | AI Enthusiast

I'm an MCA student at R V University (2026–2028) interested in Cloud Computing, Software Development, Artificial Intelligence, and building practical technology solutions.

I enjoy turning ideas into working projects, exploring new technologies, and continuously improving my technical skills.

👨‍💻 About Me

  • 🎓 Pursuing MCA at R V University
  • ☁️ Interested in AWS and Cloud Computing
  • 💻 Building applications using Kotlin, C++, and Python
  • 🤖 Exploring Artificial Intelligence and Machine Learning
  • 💼 Former AWS Cloud Computing Intern at SkillDzire
  • 🤝 Student Placement Coordinator at R V University
  • 🌱 Always learning, experimenting, and building projects

🛠️ Technical Skills

Category Technologies
Programming Python, C++, Kotlin, Java, SQL
Cloud Computing AWS EC2, S3, IAM, VPC, CloudWatch
Android Development Kotlin, Jetpack Compose, Room
AI & Machine Learning Scikit-learn, Pandas, NumPy, SHAP
Frameworks & Libraries Streamlit, SFML
Build Tools CMake, Gradle
Databases Room, MySQL
Developer Tools Git, GitHub, Visual Studio, VS Code

💻 Languages & Tools

Python C++ Kotlin AWS Android Streamlit Scikit-learn Git GitHub CMake

🚀 Featured Projects

1. AI Service Guide

An Android application that helps citizens understand government services, required documents, and application procedures through AI-assisted guidance and a local service database.

Tech Stack: Kotlin, Jetpack Compose, Room, Gemini API

View Repository →

2. CodeMaze — Adaptive C++ Learning Maze

A 2D educational game where players explore mazes and solve C++ programming challenges. It includes performance tracking and adaptive question selection based on learning progress.

Tech Stack: C++20, SFML 3, CMake, MSVC

View Repository →

3. SmartHealth Triage

An explainable symptom-based health assessment research project that combines possible condition prediction, urgency classification, red-flag detection, and safety overrides.

The project explores how explainable machine learning can support safer symptom triage. It is an educational research prototype and is not clinically validated or intended to provide medical diagnoses.

Tech Stack: Python, Streamlit, Scikit-learn, Pandas, NumPy, SHAP

View Repository →

📜 Certifications & Learning

  • AWS Cloud Fundamentals
  • Python Programming
  • Cyber Security — Simplilearn
  • AI for Sustainability — IBM SkillsBuild
  • AI-related learning — Infosys Springboard

🎯 Current Focus

  • Strengthening AWS and Cloud Computing fundamentals
  • Building practical software development projects
  • Improving Python and problem-solving skills
  • Exploring AI and Machine Learning applications
  • Learning software architecture and development best practices

🤝 Connect With Me

⭐ Always learning. Always building. Always improving.

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  1. AIServiceGuide AIServiceGuide Public

    AI-powered Android app helping citizens understand government services, required documents, and application procedures.

    Kotlin

  2. CodeMaze CodeMaze Public

    Adaptive C++ learning game combining 2D maze exploration, programming challenges, and performance-based question selection.

    C++

  3. SmartHealthTriage SmartHealthTriage Public

    Explainable symptom-based health triage and risk stratification system.

    Python