Hi, I'mDIETHER DAVE.
Buildingelectronic systemsandmodern websites.
I LOVE TO CREATE. EVERYTHING I CAN THINK OF (GIVEN IT IS POSSIBLE), I CAN BUILD. ELECTRONICS SYSTEMS, EMBEDDED SYSTEMS, IOT DEVICES, MACHINE LEARNING, WEBSITES, WEB APPLICATIONS, ANDROID APPS, ETC.
I HAVE SO MUCH PASSION ON BUILDING THAT I TRY TO BUILD THINGS AS MUCH AS I CAN. I LOVE TO LEARN NEW TECHNOLOGIES AND APPLY THEM TO MY PROJECTS. I JUST LOVE TO BUILD THINGS WITH THE GIVEN CONSTRAINTS, OF COURSE.
Tech Stack
Software and Hardware Development
Arduino
RaspberryPi
Espressif
Next.js
React
TailwindCSS
TypeScript
JavaScript
Python
Firebase
KiCad
Proteus
Design
Photoshop
InDesign
Illustrator
SketchUp
Figma
Projects
Portable Blood Type Recognition
A portable device using computer vision to quickly identify blood types from samples. Built with Raspberry Pi and deep learning for accurate, real-time blood type classification. This supports offline and online mode to upload results on a website for users to view.
Face Recognition with Mask Detection Attendance System
Automated attendance system that can recognize faces and check if they are wearing masks. Features real-time detection, attendance logging, and reporting capabilities for schools and offices.
Air Quality Monitoring System with Predictive Analysis
IoT-based air quality monitoring system that measures various pollutants and uses machine learning to predict future air quality levels. Includes mobile alerts for poor air quality. This has a web dashboard for monitoring the air quality of the area, data logging, and visualization.
Automated Answer Sheet Scoring System with Optical Mark Recognition
High-speed scanning and scoring system for multiple-choice answer sheets. Features automatic grade calculation, statistical analysis, and result export functionality. This has a web dashboard for users to view their results and also has SMS support for sending the results to the students.