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Vision AI:• Enhanced the Vision AI project by enabling image capture and transmission. Utilized ESP32 as the slave and NRF as the master controller. Enabled ESP32 to capture images on NRF's request and transmit them to NRF via UART. Facilitated NRF's transmission of images to the server using LTE-M over UDP.• Integrated direct image transfer to a UDP server over WiFi from the ESP32 controller, enhancing project functionality with seamless transmission of captured images.• Implemented image transmission via Secure MQTT over LTE-M, enhancing project capabilities with encrypted communication for seamless and protected image transfer.• Implemented unit test cases to validate camera configuration and image capturing functionalities, ensuring robustness and reliability within the Vision AI project.• Implemented functionality in CLI mode of device for configuring parameters of the slave (ESPP32) in the Vision AI project, allowing modification of Slave's parameters e.g server and WiFi credentials etc. Successfully addressed the challenge of concurrent UART usage between ESP32 and NRF for CLI traces, achieving seamless functionality without an operating system.• Developed a pipeline to fine-tune a pretrained AI model, converting it to TFlite mode, and optimizing I It with quantization. Transformed it into a C array format for seamless integration with microcontrollers, enhancing functionality in the project.BrighterBins:• Developed an EEPROM management module using parameter IDs and dynamically assigned addresses for efficient firmware updates. Seamlessly handles parameter addition and deletion, eliminating hardcoded addresses and padding issues from older versions• Implemented EEPROM encryption to secure device parameter data, ensuring confidentiality and I Integrity.• Implemented UDP-based downlink over LTE-M for remote device parameter configuration, enhancing flexibility and accessibility.

Gas Manifold System:• Collaborated closely with UI/UX designers to conceptualize and design a comprehensive 15+ screens application for a TFT display within an embedded system environment.• Designed and crafted the application's 15+ screens using Embedded C on STM32, and implemented the application with State Machines, ensuring optimal performance and compatibility with user's requirements.• Implemented touch functionality across the entire application, enhancing user interaction and responsiveness on the touchscreen interface.• Engineered sensor drivers to facilitate smooth integration and precise data acquisition within the embedded system framework.• Established the linkage between sensors and the application, enabling real-time data interaction and enhancing the functionality and responsiveness of the user interface.Area Gas Alarm:• Reviewed and assessed an existing touchscreen application, providing insights and recommendations for enhancements and optimizations.• Expanded the functionality of the LCD by integrating additional fonts, overcoming limitations, and diversifying visual presentation options within the application.• Driver Development of various sensors used in the project.RFID Smart Attendance System: Developed an attendance system with ESP32 using ESP-IDF, enabling RFID card reading and transmission of credentials to the server via MQTT for attendance marking on the employee portal. Additionally, integrated a display to present Essential information.

I worked on Prepaid Smart Energy Meter is capable of providing electricity only forthe prepaid amount, Detects Electricity stealing. It can also interactwith the users through GSM, payments are done directly to the meterusing the user’s RFID Card, and that RFID card could be recharged byusing any bank application. My Contributions were ComponentSelection, Circuit Design, PCB Design, Programming, and SensorsIntegration