Worked on a bus tracking system for the campus buses using NodeMCUs. Developed skills in IoT hardware integration, real-time data processing, GPS Tracking, LoRaWAN integration, and asset tracking. Additionally, I gained experience in troubleshooting and optimizing system performance.

Worked on cutting-edge drone technology aimed at revolutionizing modern agricultural practices. Conducted thorough research on Agribot, focusing on its applications and benefits in modern agriculture. Utilized Python to develop and implement sensors for drones, integrating AI to enhance their functionality and accuracy. Worked on incorporating AI algorithms to improve the decision-making capabilities of the drones, enabling them to perform tasks such as crop monitoring, soil analysis, and pest detection more efficiently. Analyzed data collected by the drones to provide actionable insights for farmers, helping them make informed decisions about crop management and resource allocation. Collaborated with a multidisciplinary team, including engineers and agricultural experts, to ensure the successful integration of drone technology in agricultural practices. Prepared detailed reports and presentations on the findings and progress of the project, communicating complex technical information to stakeholders effectively.

Explored the basics of AI and machine learning, understanding how these technologies can be applied to solve complex data problems. Gained a solid foundation in Python, understanding its syntax, libraries, and applications in data science. Learned how Python is leveraged to handle, process, and analyze large datasets. Collaborated with a team of experienced data scientists, gaining insights into industry best practices and workflow.