• Developed an LLM-Smart-Watch, a wearable device integrating AI capabilities through ChatGPT.
• Utilizes an ESP32 microcontroller and C++ programming language to enable real-time interaction with AI services, transforming user engagement with technology.
• Built with FreeRTOS to handle parallel processes, Firebase to store user photos, and SPI to communicate with the display.

The electric eye safety system uses an infrared beam and receiver with hardware filtering (BJTs, MOSFETs, diodes, capacitors) to detect obstructions and trigger alerts. It addresses the need for reliable sensor data in safety-critical applications, functioning well under varying lighting conditions, and includes an SMS alert feature.

Developed a sophisticated temperature monitoring system, integrating real-time data visualization and user-friendly interaction. Utilized Raspberry Pi Pico (Pico W), enhanced with custom drivers developed specifically for the high-resolution Pimoroni Display (PIM543), ensuring seamless hardware-software integration. Implemented IoT connectivity with MQTT-Node.js server for remote data access. The frontend boasted an intuitive UI, showcasing temperature trends and analytics.

• Implemented C-code to turn inputs from two joysticks translated by ADCs into PWM output values for a motor driver that controls 12V motors. Processed all input values into a pseudo normal distribution to create smooth speed transitions.
• Constructed an audio circuit with project partner, utilizing a 555 Timer Voltage Controlled Oscillator, DAC (with I2C), interrupts, amplifier, and speaker, to turn distance measurements from an ultrasonic sensor into audible sound.