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yudi

Hi, It's Yudi

I'm AI Engineer|

Welcome to my personal website! Here, you can find more information about my journey in the world of Data Science and Artificial Intelligence, as well as the various projects I have worked on. Feel free to explore and contact me if you're interested in discussing further.

About Me

Yudi Pratama Putra

My name is Yudi Pratama Putra, a Mechatronics and Artificial Intelligence student passionate about AI technology. I am committed to advancing my skills in Machine Learning, with the aim of becoming an AI Engineer and Data Science. My academic journey has instilled a deep interest in innovation, and I am dedicated to continuous professional growth. With hands-on experience in various AI-related projects, I am eager to contribute my expertise to real-world applications and pursue my career goals in AI and Data Science.

Technical Skills

Projects Experience

hand-robot
Gesture-Controlled Robot

Robotic hand powered by Arduino controls fingers with servo-thread mechanism, integrating OpenCV and Mediapipe for real-time hand tracking. Enables seamless interaction between user and robot for precise, innovative movements.

melanoma
Melanoma Detection

This app detects and analyzes melanoma types using image processing and machine learning. It extracts image data to train ML models for accurate detection, featuring segmentation, edge detection, asymmetry, and color analysis.

emotion
Emotion Classification

Using the FastJobs/ Visual Emotional Analysis dataset, where most models achieve under 60% accuracy, this fine-tuned Google-ViT surpasses expectations with a 63.75% accuracy and 1.0965 loss, showcasing effective fine-tuning and dataset optimization.

corn
Maize Pest Detection

This YOLOv11-based model detects maize pests using a filtered IP102 dataset. Achieved mAP 84.3%, precision 87.6%, and recall 79.4%. It enhances sustainable farming by enabling real-time, targeted pest control and minimizing pesticide use.

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Kard AI

KardAI is a web-based platform for predicting cardiovascular disease risk using a Random Forest model and educating users with a fine-tuned FLAN-T5 chatbot. It combines machine learning and health insights for early detection and prevention.

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Postura (In Progress)

This project uses IoT (ESP32-CAM) and machine learning to detect posture errors. Mediapipe is used for pose estimation, with models for detecting good/bad posture and classifying lordosis, kyphosis, and normal, deployed on a website with OpenCV.

Training and Certifications

Get in Touch

Phone Number

+62 895 0147 1325

Email

yudi19maret2003@gmail.com

Location

Bekasi, West Java, Indonesia