AI Local Business Directory App
NextJS | MongoDB | Clerk | Tailwind
a dynamic platform designed to connect users with local businesses effortlessly. By leveraging advanced AI-powered features, the app provides personalized recommendations based on user preferences and location. Users can explore a wide range of nearby businesses, view essential details like ratings and contact information, and discover new local gems. With a sleek and intuitive interface, the app simplifies the process of finding and supporting local businesses, creating a seamless experience for users and enhancing community engagement.
TasteMates
Typescript | NextJS | ConvexDB | Node
The dating application is a unique platform that connects people through their shared love of food. It helps users discover potential matches based on their favorite cuisines, dining preferences, and local spots, making connections feel meaningful and enjoyable. By focusing on culinary interests, the app provides a fun and engaging way for people to bond over something they’re passionate about—food. Whether you’re a fan of pizza nights or fine dining, this app is designed to bring food lovers together.
Forecastly
Javascript | ReactNative | Expo | JSX
I developed a user-friendly weather monitor application for both iOS and Android platforms, offering a seamless and intuitive experience for users. The app provides real-time weather updates and location-based insights, ensuring users have access to accurate and up-to-date information. By focusing on performance and usability, the app delivers dynamic features tailored to help users stay informed and prepared, no matter where they are.
Fooder
JS | HTML5 | CSS3
Fooder is a food discovery service designed to connect users with the closest restaurants based on their location. As the front-end lead, I crafted an intuitive user interface and ensured the design provided a seamless and enjoyable experience for users. By coordinating the integration of back-end services, the platform delivers accurate and personalized dining options, helping users find their next meal effortlessly.
Six-axis Glove Controlled Robotic Arm
Arduino | RaspberryPi | Python | C++ | TactigonOne
Engineered a wirelessly controlled robotic arm using a customized glove interface, leveraging Tactigon One to transmit precise coordinates and orientation via Bluetooth Low Energy technology. Developed a robust framework for accurate motor activation and seamless communication between microcontrollers and the robotic arm. Led regular team discussions to assess project progress and collaboratively build the robotic arm, demonstrating strong problem-solving skills by systematically identifying and resolving technical challenges with effective solutions.
IOT Smart Vent
Arduino | Xcode | Swift | C++
Developed an IoT-enabled smart vent system with seamless remote management through an advanced smart application built in Xcode. Programmed automated serial communication between the ESP8266 and a microcontroller for robust and efficient data exchange. Designed and 3D-printed a comprehensive vent system, integrating allergen monitoring and advanced functionalities to enhance environmental quality and user experience.
Traffic Light Controller
Nexys A7-100T | VHDL
Developed a traffic light controller using the Nexys A7-100T FPGA and VHDL, implementing a finite state machine for real-time synchronization and designing interconnected data structures. Diagnosed and resolved complex issues affecting functionality and performance in the real-time system. Successfully synthesized and deployed the design onto FPGA hardware, conducting rigorous testing to simulate real-world traffic scenarios and ensure optimal performance.