Bhargavi Newale

Trained a custom YOLOv8 model on 700+ annotated images, achieving 95% detection accuracy. Designed and implemented an ESP32-based WiFi-controlled RC car with a communication range of approximately 10–15 meters. Developed a PID-based line follower robot using an 8-sensor IR array for accurate path tracking and an ESP32-based floor cleaning robot with 4 ultrasonic sensors for autonomous navigation and obstacle avoidance.

Robotics Developer - RoboVyu Club - AISSMS COE - Pune

(2024-12 - 2025-12)

• Trained a custom YOLOv8 model on 700+ annotated images, achieving 95% detection accuracy.
• Designed and implemented an ESP32-based WiFi-controlled RC car with a communication range of approximately 10–15 meters.
• Developed a PID-based line follower robot using an 8-sensor IR array for accurate path tracking and an ESP32-based floor cleaning robot with 4 ultrasonic sensors for autonomous navigation and obstacle avoidance.

Artificial Intelligence Intern - Codec Technologies

(2026-01 - 2026-02)

• Implemented PyTorch Dataset and DataLoader pipelines to efficiently process and batch 70,000 MNIST images, improving training workflow and data handling efficiency.
• Implemented and evaluated ANN and CNN models using PyTorch, achieving 90–95% classification accuracy on benchmark datasets.

B.E - Robotics and Automation - AISSMS College of Engineering (2023 - 2027)

State board Class 12th - Amrita Vidyalayam Junior College (2021 - 2023)