
Ramya Bairi
@ramyabairi
I build IoT and computer vision projects using Arduino, Python, and Java.
What I'm looking for
I built an IoT-based Automatic Pet Feeder using Arduino and a servo motor, with scheduled feeding, adjustable portions, manual override, and pet-safe locking. The project earned third prize in an IoT Application Development SDP.
I've also developed an RFID-based Passport Verification System using RC522, Arduino Uno, Zigbee, LCD, buzzers, and LEDs. Through an AICTE virtual internship, I worked with CNN-based object detection using YOLO, SSD, Faster R-CNN, TensorFlow, OpenCV, and transfer learning.
Experience
Work history, roles, and key accomplishments
AICTE Virtual Intern
AICTE
Jan 2024 - Present (2 years 8 months)
Worked on CNN-based deep learning and object detection using YOLO, SSD, and Faster R-CNN. Practiced using tools like TensorFlow, OpenCV, and Transfer Learning in guided lab sessions.
AICTE Virtual Internship
AICTE
Jan 2024 - Present (2 years 8 months)
Worked on CNN-based deep learning and object detection using YOLO, SSD, and Faster R-CNN. Practiced using tools like TensorFlow, OpenCV, and Transfer Learning in guided lab sessions.
Education
Degrees, certifications, and relevant coursework
Geethanjali College of Engineering and Technology
Bachelor of Technology, Computer Science and Engineering
Grade: 7.50 CGPA
Pursuing a B.Tech in Computer Science and Engineering with a CGPA of 7.50.
Sri Chaitanya Junior College
Intermediate, MPC
Grade: 66.6%
Completed intermediate education with a focus on MPC, achieving a percentage of 66.6.
Dr. KKR's Gowtham Concept School
Secondary School Certificate, SSC
Grade: 10.0 CGPA
Completed SSC with a CGPA of 10.0.
Availability
Location
Authorized to work in
Job categories
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