VEX V5 Code

49h 22m

by kman

My code for the 2025-2026 VEX V5 season. IDK if its gunna count, but its worth a shot ig.

Orpheus Le Gorila

8h 51m

by Mathias

Posts Letterboxd entries to personal channels!

Adapt Events API

1h 44m

by Ahmed Farouk

an API made using python FastAPI library that shows a Nonprofit named Adapt current events (HCTG is an Example) , good example by the way!

Slack Mail

14h 57m

by Adhyys

Slack Mail is a slack bot where you can connect all your emails inboxes to slack and do everything what you do in a normal inbox. Also the Google authorization will not work as it is not trusted by google but I can add the email manually for the reviewer

Terminal-Multitool v1.0.0

2h 0m

by icehunter494

A multitool Hub with many built in functions and AI assistant

To-Do-It

3h 5m

by Spiyse

A simple command-line to-do app built with Python. I made this project because I was bored and wanted to build a mini project.

campfire flagship events bot

7h 22m

by sofia

our bot for flagship that let people track lock in sessions in huddles! joining huddles for an hour gave you progress towards boosts. (this is a fork of manitej's bot for #cafe!)

RRAG (Restaurant RAG)

9h 1m

by Harry

What it does: 1. You give it a csv containing (restaurant name, general location of restaurant) e.g., (East is East, Vancouver Broadway) 2. You give it a series of fields you want the AI to fill out after conducting research (e.g., Menu items, price, address, website, etc) 3. For each restaurant in CSV, the AI autonomously researches that restaurant by (1) making targeted web searches (2) reading the results (3) deciding if it needs more info and do it again (4) reaching a point where it is able to synthesise the findings into an answer 4. The app returns the LLM-filled contents of the requested fields back to you in a uniform JSON structure To make a database for my main project (Voyago), I need a way to be able to quickly collect basic info for a lot of restaurants. I tried to make my own RAG (Retrieval-Augmented Generation, basically the process that goes on when you ask ChatGPT to search something up) system for this, but it frankly sucked and given the limited time I have with APs, I figured it'd be better if I cloned an existing RAG system from Github and adapted on it to fit my needs. I intended to do two main things: 1. Adapt it to Hack Club AI's API for LLM (previously it used Openai API) 2. Switch to Serper.dev API for web-searching tool (previously it used SerpAPI) 3. Make it accept bulk input of restaurant names (e.x., via CSV) and generate responses in a uniform data structure (e.x., via JSON) One of the things I had to learn and try to implement at the end of the day was a validate + retry system. This came because the RAG is really unstable previously (in one search you might get really satisfactory results, in the other you get none), and one of the biggest reasons seen through the debug prints is that the system doesn't go back and retry when it fails something. If it was able to just try once more, the RAG would've performed much better overall. **DEMO LINK COMMENT (IMPORTANT)** For this revised submission, I was asked to put my Pypi url in as the demo link. If this is another organizer and wonders where my video link is, here it is: https://youtu.be/_eLFlo78jj0 By the way, dear HCTG organiser, please note that I am 100% committed to attending HCTG, so if my projects are unable to be approved by May 8th for the 20 hour reduction, pls be soft on the deadline cuz I'll 100% be coming and I will most definitely make the 40 hours by the extended due date

stratus

6h 50m

by rena

algorithmic skies generated in browser

Wyatt's Data Storage Format

5h 17m

by Wyatt B.

A JSON alternative with key:value pairs and functions! (Python Library) What Changed Since Last Shipment? - Pypi Link is now the demo

File Analyzer

5h 0m

by Aryan Awati

I'm resetting from the basics and learning from scratch, no more AI. This is a Python Project that reads a text file, analyzes it, and returns information about it.

Liveify

44h 31m

by ved patel

Convert studio-recorded songs into live “performed” versions, adding crowd cheering and natural speaker distortion, similar to The Weeknd’s Live at SoFi Stadium album. FYI: instructions on how to test Liveify are in the docs

String Simulation

10h 23m

by Tomatofu

A simulation of a string via multiple springs. The large amount of hours is because of multiple failed attempts; I was originally trying to use pendulums (MUCH HARDER) instead of springs.

Ask - AI powered terminal helper

17h 6m

by avhipro19

A minimal, fast AI powered terminal helper that assists user to find or generate exact command tailored for users specific needs