Automatic Plant Watering System
→
Summary
Designed and implemented an automated watering system utilizing sensors and Arduino to efficiently manage plant hydration.
Highly motivated AI & Data Science student with a strong foundation in Python, Data Science, and Prompt Engineering, seeking to leverage academic knowledge and project experience in a challenging role. Adept at developing and implementing machine learning models and automated systems, demonstrating a commitment to optimizing processes and delivering tangible results. Eager to contribute to innovative projects and grow within a dynamic organization.
→
B.Tech
Artificial Intelligence and Data Science
Grade: 7.2/10 (upto 6th sem)
→
HSC
Secondary Education
Grade: 75%
→
SSLC
Secondary Education
Grade: 71.17%
Awarded By
Academic Competition
Awarded first prize for the innovative design and successful implementation of an automated plant watering system, demonstrating excellence in engineering and problem-solving.
Python.
Prompt Engineering, Data Science, Machine Learning, Scikit-learn, Naive Bayes, SVM.
Microsoft Office, Arduino, Sensors.
Time Management, Communication, Problem-Solving, Analytical Thinking, Project Management.
→
Summary
Designed and implemented an automated watering system utilizing sensors and Arduino to efficiently manage plant hydration.
→
Summary
Developed a machine learning model to accurately classify emails as spam or not spam, enhancing email security and user experience.