I'm Manish Kumar, a B.Tech Computer Science Engineering (AI & ML) student passionate about building scalable software and solving real-world problems through technology. I enjoy designing, developing, and deploying full-stack applications while continuously exploring modern software engineering practices.
- π Pursuing B.Tech in Computer Science Engineering (AI & ML) (2022β2026).
- π» Build full-stack web applications using Java, Spring Boot, React.js, Node.js, Express.js, and REST APIs.
- βοΈ Develop secure backend systems with JWT Authentication, role-based authorization, and API documentation using Postman.
- ποΈ Design and manage databases using MySQL, MongoDB, and PostgreSQL.
- βοΈ Deploy applications on AWS (EC2, S3, Lambda) and work with Docker for containerized development.
- π Write clean, modular, and maintainable code following software engineering best practices.
- π Create responsive, user-friendly interfaces with React.js, Tailwind CSS, HTML5, CSS3, and JavaScript.
- π± Mastering Spring Boot, Microservices, and enterprise Java development.
- βοΈ Learning AWS Cloud, Docker, Kubernetes, and DevOps workflows.
- π Strengthening Data Structures & Algorithms (Java) for software engineering interviews.
- π€ Exploring AI-powered applications by integrating Machine Learning into modern web systems.
- π₯ National Hackathon Winner for developing an AI-powered civic issue reporting platform.
- π Passionate about building products from idea to deployment.
- π Strong believer in continuous learning, open-source collaboration, and writing production-ready code.
- π‘ Interested in Software Engineering, Backend Development, Cloud Computing, and AI-powered solutions.
- β Coffee + music + coding = my ideal productivity stack.
- π Always learning something new and improving one project at a time.
- π Open to internships, collaborations, and exciting software engineering opportunities.
| Project | Description | Tech Stack | Repository |
|---|---|---|---|
| ποΈ Nagar Alert Hub | AI-powered civic issue reporting platform that enables citizens to report infrastructure problems with image verification, geolocation, live tracking, and an intelligent admin dashboard. | React FastAPI AWS Google Maps Gemini AI PostgreSQL |
π Code |
| π‘οΈ AI-Powered Cyber Threat & Response Alert System | Enterprise cybersecurity platform that detects malicious network traffic using Machine Learning, performs anomaly detection, and automates incident response with real-time alerts. | Python FastAPI React Random Forest Isolation Forest Docker PostgreSQL |
π Code |
| βοΈ Quantum Fraud β Hybrid Financial Fraud Detection | Hybrid Quantum + Classical AI system for detecting financial fraud using Qiskit and machine learning algorithms with anomaly detection for banking transactions. | Python Qiskit Scikit-learn FastAPI React |
π Code |
| βοΈ Adhikar AI | Multilingual AI legal assistant that simplifies legal documents, answers legal queries using RAG, and helps citizens understand government laws in regional languages. | React FastAPI Gemini AI RAG FAISS PostgreSQL |
π Code |
| π§ Depression Detection System | AI-powered mental health screening platform that predicts depression using text analysis, facial expression recognition, speech analysis, and PHQ-9 assessments. | Python TensorFlow OpenCV NLP Flask |
π Code |
| π House Price Prediction System | Machine learning application that predicts residential property prices using multiple regression models with interactive visualizations and performance analysis. | Python Scikit-learn Pandas NumPy Streamlit |
π Code |
β Most of my projects focus on Artificial Intelligence, Full-Stack Development, Cloud Computing, Cybersecurity, and Enterprise Software Engineering, combining modern technologies with practical real-world applications.
- βοΈ Advanced AWS Cloud (EC2, S3, Lambda, IAM, API Gateway)
- βΈοΈ Docker & Kubernetes for container orchestration and scalable deployments
- π CI/CD Pipelines using GitHub Actions and Jenkins
- ποΈ Spring Boot, Microservices & Enterprise Java Development
- π System Design for scalable and high-performance backend applications
- π§ Advanced Data Structures & Algorithms in Java
- π€ Building AI-powered applications using Machine Learning, LLMs, and RAG
- π Build production-ready Full-Stack AI Applications
- βοΈ Earn AWS Cloud Practitioner and AWS Developer Associate certifications
- π Contribute consistently to Open Source projects
- π Strengthen Java Backend & System Design skills for Software Engineering roles
- π Participate in more National Hackathons and Coding Competitions
- β¨ Maintain an active GitHub with high-quality projects and clean documentation
- π₯ Winner β AI Impact Summit (RanchiHacks 2026)
- π₯ Runner-up β Vyom 2024 Frontend Hackathon
- πΌ Completed Full Stack Development Internship
- π Built multiple AI, Cloud, and Full-Stack projects solving real-world problems
I'm always open to collaborating on:
- π» Java & Spring Boot Projects
- π Full-Stack Web Development
- π€ AI & Machine Learning Applications
- βοΈ Cloud & DevOps Projects
- π Open Source Contributions
"First, solve the problem. Then, write the code." β John Johnson
Building intelligent software, solving real-world problems, and learning something new every day.
β If you like my work, consider starring my repositories!


