Payuth Charoensri | Software Developer

Hi, I'm Payuth Charoensri.

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Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems.

About Me

A tech-driven developer with hands-on experience in AI development and IoT projects.I enjoy problem-solving and coding. I am a versatile developer with comprehensive skills in web development, encompassing HTML, CSS, JavaScript, and Node.js. Additionally, I have experience in AI development using Python, Internet of Things (IoT) projects, and creating interactive LINE chatbot using LINE Messaging API. My diverse project portfolio reflects a passion for leveraging technology to build innovative solutions.

Languages: Python, JavaScript, C/C++, HTML/CSS
AI Stack: PyTorch, TensorFlow, Hugging Face, LangChain (GenAI)
Computer Vision: OpenCV, YOLOv11, MediaPipe
Dev Tools:Codex, Claude Code, Git, Docker
Data & Backend: FastAPI, Node.js, Firebase,MySQL, MongoDB

Projects

                
Robot Gardener
                  IoT based indoor plant watering system using Raspberry Pi, Line application and Dialogflow.
                
AccomplishmentsTools: Raspberry Pi 4, Pi Camera, Soil moisture sensor, Micro DC water pump, Light bulb, Python, Flask, Line Messaging API and Dialogflow.
The Raspberry Pi will control the water pump automatically as per the soil moisture level.
We can control and monitor the moisture and plant from anywhere in the world using LINE chatbot and Dialogflow.
We can turn on the light bulb in the couldy day.
we can take picture of our plant using Pi Camera.

LINE Chatbot x Gemini
                  A LINE chatbot webhook interacts with the Gemini API to generate responses to user queries.
                
AccomplishmentsTools:LINE Messaging API, Gemini API, Node.js, Cloud Functions for Firebase
LINE chatbot webhook using the Firebase Functions framework.
Handles text and image messages, and interacts with the Gemini API to generate responses

AI Computer Vision Game
                  AI Computer Vision Game. A simple ball and bat game using hand tracking to control the bat.
                
AccomplishmentsTools: Python and OpenCV
Control the Bat: Use your hand to control the bat.
Bounce the Ball: Prevent the ball from falling off the bottom of the screen by hitting it with the bat.
Score Points: Each time you hit the ball with the bat, you score a point. If the ball falls below the bat, game over.

Fall Detection using Pose Estimation
                  This project provides an integrated solution for real-time fall detection using computer vision. It is designed to monitor individuals and provide immediate notifications when a fall is detected, making it suitable for applications involving elderly or vulnerable individuals.
                
AccomplishmentsTools: Python, OpenCV, MediaPipe, TensorFlow, Keras
Real-time fall detection using pose estimation.
Immediate notification system for detected falls.
Suitable for monitoring elderly or vulnerable individuals.

Fire Detection (YOLO)
                  Fire and Smoke detection using a YOLO custom dataset, including Telegram alerts upon detection.
                
AccomplishmentsTools: Python, Ultralytics YOLO, OpenCV, cvzone, python-dotenv
Realtime detection with bounding boxes and confidence scores.
Telegram alerting when fire or smoke is detected for the first time.