Tri State Area

This week, I learned a lot about how to use the different materials and technology in the makerspace. I followed Coen around and assisted him as he built a new table with epoxy, and watched Blas and Ruthie work on their own hexagon table. I learned about how to use different power tools and the CNC machine. I got a different makerspace blog post done over the course of the week to raise my grade and I was successful. woop woop! I learned a lot this week.

This past interim I was crocheting a cat keychain. I thought it fits in the international theme because multiple cultures represent a black cat as a bad sign or bad luck, even tho these cultures are very different. A black cat is multicultural sing I would say.

My project for interim was making wooden flowers found outside of the U.S. I made two flowers and cut them out using the laser. I made a pot using the laser as well.

the rc nitro engine is for a rc car. the exhaust will help the engine run smoother.

For my maker-space project I attempted to make painted checkers, with acrylic paint. Lets just say it didn’t turn out the way I wanted it to. I took circle wood figures and painted them. Then I decided it didn’t work so, I said let’s spray paint them, but I didn’t get around to painting them but I think it will work. I hope to in the future finish this project. I have enjoyed my time in makerspace these past four years.

For WWT this year, I calculated the cost of our project and how much it would cost us to run our program through openAI. We looked up the cost per token, 0.000008$, basically nothing, and then the tokens per word, 1.3. There are, on average, 150 words per minute in a medium/fast lecture. For a class of 30 students to get their summaries of a 20 minute lecture, it will cost only $0.03 per student and $0.94 per classroom. 

The cost of the feedback hardware, the dial box, and the main box comes out to $27.75 all together. 

One of my projects this quarter was keychains. 

I crochet a lot of keychains by using can openers from soda cans. 

Each one took no more than 10 minutes. Initially, figuring out how to end it so it would stay together was hard. As I practiced more, it looked better every time and I was able to see the “practice makes perfect’ process. 

I am planning on crocheting many more for my friends!:)

In the Makerspace Interim we are going to use the following LED table as inspiration to make a better table with the CNC machine. By using the CNC machine, the hexagons will be perfectly lined up which will make the table look better.

This is the first LED table we made that we’ll be basing the new one on.

This year’s World Wide Technology (WWT) project has unveiled a groundbreaking AI lecture summarizer designed to revolutionize the learning experience. Powered by Hugging Face models for transcript extraction and ChatGPT for customizable summaries, our AI promises to streamline learning for all students, especially those with ADHD and Dyslexia.

Beyond mere transcription, our AI optimizes learning environments in real-time using integrated sensors. Plus, a unique dial provides teachers with live feedback on lecture comprehension, empowering them to adjust their teaching approach instantly.

Our user-friendly website simplifies access to these features with checkboxes for customization and a “get transcript” button powered by aiohttp and Raspberry Pi.

In just a few clicks, educators can tailor summaries to suit individual learning profiles, making education more accessible and engaging for all.

The implications of our project are profound, ushering in a new era of inclusive and equitable education. With the WWT project leading the way, we’re closer than ever to realizing a future where every student has access to personalized, high-quality learning experiences.

Credit – Chatgpt

For this year’s World Wide Technology project, our group created an AI that records lectures and summarizes them. We used Hugging Face models to get the transcript and summary of the lecture because it runs locally which gives us a faster response time and it is free. Then we used the ChatGPT API to do a final summary. The summaries on ChatGPT can be customized through our website for different students’ learning profiles. This will be particularly useful for students with learning disabilities like ADHD and Dyslexia.

We also have incorporated sensors into the AI to optimize learning conditions for students and a dial that will give teachers live feedback on the lecture so that the teachers know what parts of the lecture students understand the most and least.

The main part of my work was in creating the code for transcribing and summarizing the lectures and editing the video.

Webpage:

You can visit the code at: https://github.com/l4589/WWT-2024

Video: