Welcome to my portfolio!
I'm a dedicated and aspiring Electronics and Communication Engineering student with a strong passion in the field of Computer Vision.
With a profound interest in circuit design and embedded systems, I am continuously seeking opportunities to enhance my knowledge and skills in this dynamic domain.
Discover my projects, where creativity meets innovation
For my first computer vision project, I developed a deep learning model capable of detecting Down’s Syndrome based on facial features. I created and annotated a custom dataset and applied advanced data augmentation techniques using Roboflow to enhance model robustness. After training, the model demonstrated excellent performance—even on random images sourced from the internet—accurately identifying the presence or absence of Down’s Syndrome. This marked a significant milestone in my journey into computer vision and medical AI. This project not only strengthened my understanding of image annotation, preprocessing, and model deployment but also sparked a deeper interest in exploring more impactful applications using Roboflow and state-of-the-art computer vision technologies.
In this project, I built a real-time seismic vibration alert system using an accelerometer module to detect acceleration forces along multiple axes. The system continuously monitors vibrations, and when any abnormal disturbance—such as seismic activity—is detected, it triggers a buzzer to alert nearby individuals. Simultaneously, an LCD display provides live feedback by showing acceleration values and system status, ensuring real-time monitoring. This setup effectively simulates an early-warning mechanism for seismic events or structural vibrations. Through this project, I gained hands-on experience in sensor interfacing, real-time embedded system design, and alert-based response mechanisms, laying a strong foundation in practical embedded applications.
This project features a keypad-based door lock system designed using an Arduino microcontroller. The system allows access only upon entering the correct numeric passcode through a 4x4 keypad. When the correct password is entered, the Arduino processes the input and activates a locking mechanism (e.g., a servo motor or relay), effectively unlocking the door. If an incorrect password is entered, the system remains locked, providing a basic but effective layer of digital security. This project helped me explore user input handling, secure access systems, and hardware-software integration, reinforcing my practical skills in embedded system development.
By attending the App Development Workshop, developed few apps such as 2x2 Matrix Calculator, Arithmetic Calculator, Dice Game, Coin Toss App which does the respective functions.
Created a library file to ease incorporating MuxDemux module and Shift Registers to increase the inputs and outputs using a microcontroller.
Made a project which monitors the level of water in the river and transits data using LoRa communication and alerts officials and residents especially near forest areas.
Discover my projects, where creativity meets innovation
Made a project which monitors the level of water in the river and transits data using LoRa communication and alerts officials and residents especially near forest areas.
Made a project which monitors the level of water in the river and transits data using LoRa communication and alerts officials and residents especially near forest areas.
Made a project which monitors the level of water in the river and transits data using LoRa communication and alerts officials and residents especially near forest areas.
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