I am Prashant Dandriyal, a final year undergraduate of Bachelor of Technology in Electronics and Communication Engineering (E.C.E). My experiences with embedded systems include simple electro-mechanical circuits, 8-bit microcontrollers and 32 bit ones like the EK-M4C123GXL TIVA Launchpad and the CC26X2R1 development board. The components by Texas Instruments were provided to me by Texas Instruments in part of the India Innovation Challenge and Design Contest (IICDC-2018).
I have also been drawn towards the (previously niche) field of Embedded Artificial Intelligence (Embedded AI), better knows as Edge AI or TinyML as one of its subsidaries. I have been following the TinyML community for some time now. In process of implementing Machine Learning at the edge, I have completed course work and worked on TensorFlow, TensorFlow Lite and Intel OpenVINO toolkit, all in process of shifting inference to the edge. For my final year project, I am in process of implementing On-device Learning on Low Compute-capable devices.
For the GSoC 2020, I would like to contribute to the project YOLO models on the X15/AI. As one the mentors is Mr Hunyue Yau, I would request you all to redirect me to the related communities where I can discuss the idea with the mentors.
I am also going to introduce myself in the #beagle-gsoc channel at riot.im and ask for help.
I will be indebted for this help as it will enable me to finalize my project and begin with the preparations.