ADYA SAMPURNA S

Proactive and goal-oriented professional with excellent time management and problem-solving skills. Known for reliability and adaptability, with a swift capacity to learn and apply new skills. Committed to leveraging these qualities to drive team success and contribute to organizational growth.

• Introduction to HTML, CSS, and JavaScript
• Frameworks Integrating mobile apps with web APIs and backend services
• Design and programming of microcontrollers
• IoT data management and storage in the cloud
• Introduction to Graphic Design
• Digital Imaging and Photo Editing

• Head of Digital Design, IEEE Student Branch, Ramaiah Institute of Technology, Bangalore, Karnataka, India, 2022-12-01, 2023-11-30, Led a team of digital designers in planning and executing various digital projects., Collaborated with other branches and organizations to create engaging and interactive social content., Managed the design and development of the student branch's website and social media platforms.
• Chair, Sensor Council, IEEE Student Branch, Ramaiah Institute of Technology, Bangalore, Karnataka, India, 2022-11-01, 2023-02-28, Oversaw the activities and initiatives of the Sensor Council within the student branch., Organized workshops, seminars and competitions related to sensors and their applications., Promoted knowledge sharing and networking opportunities among students interested in sensor technology.

• Smart Walking Assistant using IoT, Worked on an IoT-based project that aimed to assist individuals with walking difficulties., Designed and developed a smart walking assistant using sensors and microcontrollers., Implemented features like fall detection, GPS monitoring, and emergency alerts and live streaming using ESP32 cam., Wrote an IEEE paper for the same.
• RF Satellite Link using Simulink, Designed and simulated an RF satellite link using Simulink., Developed a comprehensive system model in Simulink, including RF transmitters, receivers, antennas, and propagation channels., Implemented modulation schemes, such as QPSK, to simulate the digital communication aspects of the satellite link., Optimized system parameters, such as transmitter power, carrier frequency, and antenna characteristics, to achieve optimal link performance.
• Obstacle Detecting Robot using IoT, Implemented a robotic platform capable of autonomous movement and obstacle detection using sensors such as ultrasonic or infrared sensors., Utilized Arduino to control the robot's movements, sensor readings, and IoT connectivity., Conducted comprehensive testing and debugging to ensure the robot's reliable performance and accuracy in obstacle detection.
• Sign Language Recognition System using Smart Glove, Designed and implemented a Sign Language Recognition System using smart gloves embedded with flex sensors, MPU6050 (accelerometer + gyroscope), and MCP3008 ADC., Utilized Raspberry Pi 3 Model B+ for data acquisition, preprocessing, and real-time processing., Trained a gesture recognition model using Python, TensorFlow, and Keras, incorporating dropout layers and dense neural networks., Deployed the trained model on a Flask-based web application, enabling real-time display of recognized gestures as text and speech., Collected and augmented dataset for Indian Sign Language (ISL) to enhance model accuracy and generalization.