wiki:Other/Summer/2024/lLM

Version 3 (modified by ssamant26, 5 months ago) ( diff )

HS Team Members: Jose Rubio, Sathvik Samant, Jonathan Duran, Vedant Talati

Project Goal: To create a functional smart-space for Internet-of-Things(IoT) and Machine Learning (ML) research. "Maestros," which are RaspberryPi 3B+s with various sensors, will collect a variety of multi-modal data formats (ex. temperature, humidity, RGB, motion, video, audio, etc). This data, then, will be stored on the a WINLAB server, and can be remotely connected to and experimented with using SSH.

After collecting this data, these "Maestros" will enable LLM creation and model development to create a multi-modal, machine learning-powered smart space for cities and a variety of environments.

Week 1 Slideshow Link: https://docs.google.com/presentation/d/1tB2aXgDJbP6hyVbTjhTdmyO4sL-t9mIQVLcBbdQiM44/edit?usp=sharing

Week 2

Week 3

Week 4

Week 5

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