@ Student | Bachelor of Computer Science | Outlier | Translated and more…
I’m Do Minh Duy, a Bachelor of Computer Science student at the University of Alabama at Birmingham (2025–2028) and completing a Bachelor of Engineering in Information Technology at International University - VNU HCMC (2022–2024). I’m fluent in Vietnamese, proficient in English, and know basic Chinese.
I work as an AI Language Trainer at Outlier (since April 2024), improving AI models through feedback and training materials, and as a Translator at Translated (since November 2024) on flexible projects. I managed website content for Coffee Pleiku Win (2019–2024) and participate in IU Cybersecurity (since December 2022), sharpening skills in cryptography, web exploitation, and tools like Kali Linux and Burp Suite.
My skills include Google Data Studio, Google Analytics, and iOS, with certifications in Google Analytics, Cybersecurity, and Digital Marketing. I’ve earned a Partial Scholarship, awards from ASEAN Student Contest on Information Security, and IT HACKATHON 2024. Check out my work at dominhduy09.github.io/profile.
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UVita is an innovative smartphone application designed to deliver real-time UV index data, addressing the critical gap in public awareness about UV radiation’s harmful effects on skin health. With outdoor activities on the rise, many remain unaware of risks like skin damage and skin cancer. UVita empowers users with accurate, immediate information through a UV-measuring phone case equipped with integrated UV and light sensors, promoting informed sun protection decisions and enhancing public health.
Data Collection: ML8511 UV and TSL2561 light sensors measure UV radiation intensity in real-time, providing data to calculate the UV index, which indicates potential harm from sun exposure.
Data Processing: An Arduino Pro Mini microcontroller processes sensor data, converting it into a usable format for further transmission.
Bluetooth Transmission: Processed UV index data is sent via a Bluetooth module (e.g., HC-05) to the user’s smartphone for wireless communication.
Power Supply: A 3.3V buck-boost voltage regulator powers the sensors and Arduino, ensuring stable performance from a rechargeable battery. The Bluetooth module uses a separate voltage supply for reliability.
Battery Management: A charging module enables convenient battery recharging, supporting consistent use during outdoor activities.
User Interface: The UVita app delivers real-time UV index updates, offering user-friendly notifications and sun protection recommendations based on current UV levels.
Key Benefits
UVita aims to enhance public understanding of UV risks, fostering proactive sun safety to reduce UV-related skin damage and cancer. By delivering real-time data, it supports responsible sun exposure habits and contributes to public health initiatives focused on skin health.
Hardware: ML8511 UV Sensor, TSL2561 Light Sensor, Arduino Pro Mini, Bluetooth Module (HC-05), 3.3V Buck-Boost Voltage Regulator, Rechargeable Battery.
Software/Frameworks: C++ (Arduino programming), Android Studio (mobile app development), HTML5, JavaScript, CSS3 (web development), .NET, Flutter, React Native (cross-platform apps), Bootstrap (responsive design), CytoscapeJS (network visualization), Firebase (backend), Git (version control), GitHub Pages (static hosting).
Tools: Arduino IDE, Android Studio, Visual Studio Code, GitHub, Neovim, PowerShell.
NASA provides critical scientific data on space, climate, and natural disasters, collaborating with agencies to share public health knowledge and issue early warnings for disasters. This supports preparedness, response efforts, and public health awareness, enabling informed decision-making during emergencies.
UVita revolutionizes sun safety by delivering real-time UV index data through an intuitive app and advanced hardware. By raising awareness and encouraging proactive skin protection, UVita transforms skin health education, aligning with broader public health goals to reduce UV-related risks.
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