Projects

• Real-Time IoT Monitoring System:
  Dockerized pipeline simulating sensor data with real-time visualization via Grafana.
  Tech Stack: Docker, MQTT, InfluxDB, Grafana
  What I Learned: Efficient handling of 100+ data points/sec.

• AI-Powered Banking Chatbot:
  Spring MVC chatbot with RAG integration, reducing customer query time by 15%.
  Tech Stack: Java, Spring MVC, TensorFlow, RAG
  What I Learned: Integrating machine learning in web apps enhances user support.

• Full-Stack Banking System:
  Microservices architecture featuring Spring Security and Angular dashboard.
  Tech Stack: Spring Boot, JWT, Angular
  What I Learned: Balancing security with user-friendly design.

• Hospital Management Suite:
  Comprehensive application with patient management, search, and role-based access control.
  Tech Stack: Spring MVC, Thymeleaf, Spring Security
  What I Learned: Coordination of multiple modules in enterprise apps.

• Travel Reservation API:
  REST API for travel bookings built with Node.js and Express.
  Tech Stack: Node.js, Express, MongoDB
  What I Learned: Improving route efficiency using middleware.

• Data Analysis Platform:
  Django-based system for processing and analyzing data files.
  Tech Stack: Python, Django
  What I Learned: Streamlining data workflows for enhanced insights.

• Fruit Grading ML Model:
  Machine learning model to classify fruit quality, achieving 85% accuracy with a small dataset.
  Tech Stack: Python, TensorFlow, OpenCV
  What I Learned: Data preprocessing is 80% of the battle—overripe bananas taught me patience.