Smart AI Powered Disease Detection and Classifier

Developed an intelligent medical diagnosis system that uses machine learning algorithms to detect and classify diseases from medical images and patient data. The system provides accurate diagnostic suggestions to healthcare professionals.

Embedded 3WD Simulation for Matlab

I developed an embedded simulation of a 3-Wheel Omni-Directional (3WD) drive robot using MATLAB, focusing on real-time control and kinematic modeling. The system integrates omni-wheel inverse and forward kinematics, allowing precise maneuverability in all directions. Control inputs were simulated via an Xbox controller interface, and the model was built to support embedded code generation using MATLAB Coder, enabling deployment to microcontrollers for real-world applications. This project showcases my skills in embedded systems, robotics simulation, and control systems design.

Real-time Animal Cell Simulation

Created an interactive 3D simulation of animal cell structures and processes in real-time. The simulation includes organelle functions, cellular respiration, protein synthesis, and membrane transport mechanisms for educational purposes.

SAP and Inventory Management System

Developed a comprehensive warehouse management system integrated with SAP for efficient inventory tracking, order processing, and supply chain management. The system includes barcode scanning, automated reporting, and real-time dashboard.

Altium PCB Design Workshop

I served as a core team assistant for the Altium PCB Design Workshop conducted by SRM Team Robocon. My responsibilities included supporting participants with software setup, troubleshooting design issues, and explaining the fundamentals of PCB layout and schematic design in Altium Designer. This experience strengthened my understanding of PCB development workflows and enhanced my ability to communicate technical concepts effectively to peers.

Issued by: SRM Team Robocon

TechXCelerate Hackathon:AI-Powered Disease Prediction System

At the Bits TechXCelerate Hackathon, I was part of a team that developed an AI-powered disease prediction system. Using machine learning models trained on medical symptom datasets, we built a diagnostic web tool that could predict likely conditions based on user-reported symptoms, while prioritizing low-risk outcomes and suggesting precautions. This project deepened my skills in data preprocessing, model evaluation, and deploying AI in healthcare-focused solutions.

Issued by: BITS Hyderabad

CodeFest Hackathon: AI-Based Inventory Management System

During the CodeFest Hackathon, my team and I built an AI-driven Inventory Management System designed to automate stock tracking and restocking alerts. Using predictive analytics and web scraping integration for e-commerce platforms, the system helped users monitor inventory levels and anticipate demand trends. I contributed to both the backend logic and the user interface, and this project gave me practical experience in full-stack development and applying AI to real-world logistics challenges.

Issued by: SRMIST

Data Science with Python

I completed a comprehensive course in Data Science with Python, covering essential concepts such as data visualization, statistical analysis, machine learning, and working with libraries like NumPy, Pandas, and Scikit-learn. The course included hands-on projects, giving me foundational knowledge in end-to-end data workflows—from data wrangling to model deployment. This certification reinforced my ability to build and evaluate predictive models using Python.

Issued by: Saylor Academy