Vatsal Solanki

Integrated M.Tech Bioengineering student with a strong foundation in AI, ML, NLP, and IoT, supported by hands-on experience in R&D and applied projects. Skilled in developing intelligent control systems for surgical robotics and building AI-driven agritech solutions using advanced ML and explainable AI techniques. Proficient in Python, data analysis, prototyping, and workflow automation, with additional strengths in technical support, troubleshooting, and clear technical communication.

• Lead a Team to Top 5 teams in Smart India Hackathon 2024
• Received 2nd Best Idea at Ideathon at MIT ADT University

Design and Analysis of Intelligent Control Systems in Minimally Invasive Surgical  Robotics for Enhanced Procedural Accuracy:

This project involved designing an intelligent hybrid control system for a minimally invasive surgical robot using a 2-DOF manipulator model, integrating PD control with adaptive estimation and a supervisory safety layer. Extensive simulation experiments demonstrated improved tracking accuracy, robustness to noise and disturbances, and sub-millimetre precision required for surgical applications.

DNA as a Data Storage Device:

This project explored DNA as a high-density data storage medium by encoding digital information into synthetic DNA and evaluating its long-term stability, capacity, and error-correction requirements. It also assessed environmental effects on data retention and examined the practical challenges of reading, writing, and retrieving information from DNA.

Automated Water Irrigation System:

This project developed an AI- and IoT-based automated irrigation system that uses a 7-in-1 soil sensor to regulate water flow in real time and improve crop health. It also applies machine learning to analyze soil conditions and predict plant compatibility and crop rotation patterns for smarter, sustainable farm management.