discfm

14h 16m

by Paul

display the song you're currently listening to (from lastfm) on your discord profile. This uses discord's whitelisted headless-client api (by borrowing premid's app id) so you don't have to run a program on your device.

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Voyago -- AI-assisted travel agent proof-of-concept

26h 29m

by Harry

PSA: If you're looking for demos to see all parts of project, please reference the demo hub here! I was asked to include only the main app as the demo link. https://docs.google.com/document/d/1ATQCNs4iA9GmtCfzy3Zy8waQqAyNNWDVDrxhREHo9P4/edit?usp=sharing What is this? For now: A multi-agent system that learns your restaurant preferences through doomscrolling, and recommends you more restaurants! (+ the data extraction pipeline needed to collect the dataset it needs) In the future: A more agent-oriented agenetic system that will learn not only on restaurants, but about your opinion on certain attractions, attendable events, etc via doomscrolling. It will then help you build a trip itinerary by recommending you places / events you may enjoy. What it does (currently): 1. You tell Voyago where you’re staying at / your location (limited to Vancouver for now) 2. Voyago gives you a list of restaurants, presented in a reels-like format. It tells you the following things for every restaurant: - Genre (cuisine type) - Price range for full meal - Address - Operating hours - Top tags associated with the restaurant - The rough route + estimated time for you to either walk or drive there 3. For every restaurant, you can read the description and rate it out of 10 based on how much you like it 4. As you rate more and more, Voyago will use the numerical input you give to weigh which tags you like and which ones you do not. 5. Once enough tags are accumulated, the LLM will occasionally generate a summary of your preferences 6. Voyago will gradually reduce the likelihood of restaurants containing tags that already have very strong pro / anti signals, and vice versa for those with tags that are not frequently rated. 7. As you scroll, you can click "AI recommendation" button on the left side panel to let the agent pick out restaurants that you may enjoy, according to what Voyago has learned about your preferences Background The problem with planning a trip these days is that when you search up “things to do / eat in Vancouver”, it is always the same things that rise to the surface of your search engine. In reality, as a Vancouver resident myself, I can confirm that I’ve had far richer experiences at places which are hardly reachable by search engine unless if you dig vigorously. This is a problem because it demonstrates that only the top few percentile of places or establishments get the vast majority of attention, and becomes the "must-go meta" for most travellers. Voyago aims to fix this by giving equal exposure to more niche places and asking what *you* like... and what better way to consume large amounts of content than via doomscrolling?! Ultimately, the question comes down to what “motivates one’s happiness”. I want to build a personal agentic AI tour guide who will help you plan your itinerary. The way it does it is to 1. Learn about what is there to do in the city and what about them (places, events, restaurants, etc) 2. Learn and potentially reason about what specific factors “motivate your happiness”, 3. Thus, recommend places for you to go. This is quite an ambitious project that I will continue, and it has a lot of features I have to add to accurately model the constraints someone may have when planning their travels. Currently, the fully processed dataset is limited to restaurants within Vancouver. The demo version contains 47 locations total. This is mainly a proof of concept, but it does work as intended and it demonstrates how, if we're able to process more data of say, attractions, we're able to easily integrate it into this system. But I guess for now it's of some use. I have very strong deciphobia about where to eat and will often spend such a long time walking around, looking at maps, and carefully analysing the menus at the food court, only to resort to McDonalds (the default safe option) in the end

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PIXL

9h 0m

by adicoding-js

PIXL is a cool retro, Windows 98-themed collaborative canvas game where you can draw pixel art, chat in realtime with others, and create masterpieces!

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Maker Base

69h 10m

by Manish

Changes made to the project from the last submission: - Calendar on info page data fetch issue fix on deployments (fix) ** On localhost, the calendar chart was working, but due to time insertion not fitting the required data format, it was not showing those color blocks for activity. Fixed it. -README file / Info page with contribution section in detail and other edits - (addition) - Error message prompt fix - now whenever an error occurs, the user will be prompted with the error message, which fits the vibe of the website - (fix) - Nav bar active page underline addition (based on the active page, an underline appears) - (addition) (This should not have taken this long, but I was going back and forth with design choices for the user navbar. I settled for what I already had at last. Because why complicate it more? And adding a vertical navbar would have more unused space anyway.)

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amethyst

13h 23m

by carbon

a chrome extension runtime which allows chrome extensions to run in a HTML webpage, directed towards tabbed proxy browser sites. it attempts to create a 'compatibility layer' for almost all of the chrome.* APIs, however i haven't got it fully working yet and im not completely sure how to yet. if you are using krypton to test it out, click on the three dots at the top right > click extensions > attach a CRX or ZIP file for an extension. it will be installed, then you can close it and the extension should be accessible in the top bar. if the extensions are annoying you click the three dots > settings, click privacy and then turn off the advertisements.

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