TARUN S J

Programming Languages: Java, Python, Embedded C, Arduino (C++),Verilog 

Tools & Platforms: ROS2, MATLAB, Electric Binary, KiCad 

Technologies: Machine Learning, Embedded Systems, Robotics

1. Disease Prediction Model using Data Science and Machine Learning

• Developed a machine learning model to predict diseases based on patient symptoms and clinical data using algorithms like Random Forest, SVM, and Logistic Regression.
• Collected, cleaned, and preprocessed health-related datasets using Pandas and NumPy, handled missing values and performed feature engineering for improved model accuracy.

2. Surveillance Robot Car using ESP32 Cam Module

• Designed and developed a Wi-Fi-enabled surveillance robot using the ESP32-CAM module for real-time video streaming and remote monitoring.
• Integrated live video feed using MJPEG/RTSP protocols and hosted on a local web server accessible via smartphone browser.

3. Greaps Disease Prediction Rover

• Developed a smart rover using Raspberry Pi and YOLO model for real-time grapevine disease detection.
• Trained custom YOLO model to identify diseases like Black Rot and Leaf Blight with high accuracy.
• Captured and processed images on-board using Pi Camera and ran detection locally.

4. Automatic medicine dispenser machine

• Built a microcontroller-based device using Arduino, RTC, stepper motor, LCD, and DFPlayer Mini to automatically dispense medicine at scheduled times with audio-visual alerts.
• Programmed real-time scheduling and dose reminders to assist elderly patients in maintaining medication adherence.

5. Multipurpose Agricultural Robot

• Designed and developed a smart agricultural robot capable of soil monitoring, pesticide spraying, and crop health analysis.
• Integrated sensors (moisture, temperature), camera, motor drivers, and wireless control to automate key farming tasks and improve efficiency in the field.