เพศ (สถานะภาพ)
ชาย (โสด)

สัญชาติ
ไทย

ศาสนา
พุทธ

วันเกิด (อายุ)
06-เมษายน-2546    อายุ 22ปี

ส่วนสูง/น้ำหนัก
173 Cm    หนัก 110 Kg

สถานะภาพทางทหาร
ได้รับการยกเว้นเนื่องจากร่างกายไม่ผ่านเ

จังหวัด (เขต)
นนทบุรี (เมืองนนทบุรี)

การติดต่อที่สะดวก
โทรศัพท์ , Email , ไลน์ไอดี

สาขาวิชาชีพ
วิศวกรรมสาขาอื่นๆ

ลักษณะงานที่ต้องการ
งานประจำ (Full Time)

ระดับเงินเดือนที่ต้องการ
30,000บาท ขึ้นไป

แก้ไขข้อมูลล่าสุด
14 ก.ค. 2568

เข้าระบบครั้งสุดท้าย
14 ก.ค. 2568

Resume by
JobTH.com

การศึกษา จบการศึกษาแล้ว ในปี พศ. 2568

ประสบการณ์ทำงานทั้งหมด 0 ปี

พิมพ์ดีด
ไทย 40 คำ/นาที    อังกฤษ 68 คำ/นาที

โครงการ/ผลงาน
AI Hand Gesture Detection
Designed and implemented a real-time finger gesture recognition system using the YOLOv5 object detection model. Collected and labeled custom gesture datasets via Roboflow, optimizing model architecture for low-latency performance. Integrated the trained model with an Arduino microcontroller and established serial communication to display recognized gestures on a 7-segment LED. Demonstrated real-time AI deployment on embedded hardware, bridging machine learning and IoT for interactive applications.
Diseases Prediction using AI
Built a disease detection platform capable of predicting potential diagnoses based on user input such as BMI, smoking status, and symptoms. Processed a comprehensive dataset with 133 features using pandas and NumPy, and trained a Decision Tree Classifier via scikit-learn for high interpretability and accuracy. Deployed the model using Streamlit for a responsive, web-based interface, integrating model persistence with pickle for efficient performance. This project showcases full ML pipeline implementation—from data preprocessing to deployment—for real-world healthcare support.
Road Sign Recognition via Image Processing
Developed a computer vision system to identify road signs using classical image processing and pattern recognition techniques. Applied thresholding, edge detection, and region-growing algorithms to extract candidate regions. Conducted feature extraction based on color histograms and shape analysis, followed by shape detection via Hough Transform. Implemented perspective transformation to enable robust detection under varied viewing angles. This project demonstrates expertise in low-level image processing for structured object recognition, critical in autonomous systems.
Pepsi or Coca Cola Detection
Developed an AI-powered image recognition system to distinguish between Pepsi and Coca-Cola products, including cans and bottles, enhancing retail inventory accuracy. Curated and annotated a robust dataset using Roboflow, sourcing high-quality images from Kaggle to improve model generalization. Trained a YOLOv8 object detection model in Python, achieving fast and reliable classification under varying angles and lighting. Deployed the system on a Raspberry Pi, creating a lightweight, cost-effective solution suitable for integration into store shelves or point-of-sale terminals. This project addressed a real-world challenge of identifying visually similar products to streamline inventory tracking and reduce human error.
Hotel Room Management System with IOT Integration
Designed a smart automation and billing system for hotel rooms that integrates IoT-based access control, environmental monitoring, and real-time data logging. Upon receptionist check-in, the system logs the customer's arrival in an SQL database. Entry is authorized via RFID card tagging, which also triggers the unlocking mechanism and logs the timestamp. Devices such as lights and fans are controlled automatically using motion and heat sensors. Energy and water usage are tracked via sensors or estimation algorithms to calculate billing data. At checkout or upon RFID tag-out, the system shuts down all electronics and logs the total cost, ensuring both energy efficiency and automated billing accuracy.
Kiosk- The smart board information interactive display
Engineered a Smart KIOSK system serving as a centralized digital hub for university users, integrating features for navigation, room booking, academic information access, and event updates. Implemented advanced features such as face detection to trigger the main interface upon user approach, and voice recognition to support keyword-based navigation (e.g., saying "document" redirects to the relevant page). The system includes a 3D faculty building model, interactive 2D map navigation, multilingual academic calendar, and a document retrieval interface. Room bookings are facilitated via QR code check-ins. Developed a responsive web version for mobile access and managed backend content via MinIO and phpMyAdmin, enabling seamless cloud-based updates and administration.
Smart Humidifier Using Arduino
Built an automated humidity control system using DHT-22, LCD display, and a water atomizer. Programmed Arduino to maintain indoor humidity within the optimal range (50–70%), enhancing environmental comfort through real-time monitoring and regulation.
Line Following Robot using Arduino and STM
Constructed two autonomous line-following robots — one with Arduino for fundamental path tracking using IR sensors, and another with STM microcontroller for advanced processing and sensor fusion. Demonstrated skills in control algorithms, embedded hardware, and robotics.
Smart Plant Monitoring System with Feedback Control
Developed a plant care system using Arduino, DHT sensor, and soil moisture module. Enabled real-time environmental monitoring and control, with feedback-based triggers for watering and alerts. LCD interface displays live readings to support optimal growth conditions.
Object Classification Machine using PLC
Designed a PLC-based automation system for industrial object measurement and classification. Applied rule-based logic to inspect and sort items on a conveyor system, simulating real-world quality control in manufacturing.
Library System
Simulated a user-focused library system using Python to demonstrate intelligent search and borrowing features. Implemented binary and linear search for fast and fuzzy matching, with string similarity analysis to handle imprecise queries. Designed logic to maintain real-time availability status and ensure synchronized search and borrowing behavior.