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Jazzzzzzzzzon

ahhhh why no projects shown

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Abdulgafar Abdurrasheed

I have been using hackatime since High Seas(October-December 2024), and all my projects since then were tracked, so I have over 200 hours, even though my flavortown project is just ~40 hours. Is there no way to pick a particular project/set of projects to show prediction for??

Also, does the prediction just multiply the hours by a certain value, without taking quality into account?(I read the readme, and prediction formula website you made available, but i couldn’t understand a thing, sorry 🙃🙃)

Abdulgafar Abdurrasheed

Great Project BTW

Jazzzzzzzzzon

Finally found a suitable dataset and started the training process, for testing

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Jazzzzzzzzzon

available on streamlit

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Jazzzzzzzzzon

now uses hack club api instead, and use yolo with ocr to extract instead of feeding straight away.

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Jazzzzzzzzzon

project shipped!!!!!!

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MeBadDev
MeBadDev about 1 month ago

Looks cool, installed! Voting is currently disabled though :(

MeBadDev
MeBadDev about 1 month ago

I can’t use it because it does not supports pyenv and complains about requests not installed :(

Jazzzzzzzzzon
Jazzzzzzzzzon about 1 month ago

ahhh😭😭😭I just dm you on slack, I will try to fix it so its available for everyone, also someone requested a nvim version as well. I will try my very best!!!!

Zach Wilkinson-Rowe

I can’t install cause incompatible

Jazzzzzzzzzon

Shipped this project!

Hours: 15.51
Cookies: 🍪 121
Multiplier: 7.8 cookies/hr

This project uses Hackatime api and Flavourtown api to track the number of hours spent on each programming languages and predict the amount of cookies based on number of hours spend on their projects, then the user can set their target item, and a progress bar will show how far are they from their goal. The prediction formula is based on this Desmos: https://www.desmos.com/calculator/mskbsk490e.
I make this app with mostly typescript, JavaScript and python(api), and also some HTML for UI. I then publish it to vscode marketplace (I might try to make a nvim version in the future).
In this project, i learnt how to use JavaScript, typescript for the first time, and i learnt that i shall never be a frontend designer.
note: some frontend UI design is done with the help of AI

Jazzzzzzzzzon

Just published it to marketplace!!!! just gotta wait for a few minutes.

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Jazzzzzzzzzon

quick fix a serious bug, didn’t manage to get it done before review😭😭

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Jazzzzzzzzzon
Jazzzzzzzzzon about 1 month ago

sry admin

Jazzzzzzzzzon

Shipped this project!

Hours: 12.47
Cookies: 🍪 60
Multiplier: 4.85 cookies/hr

This project is inspired by the project obamify(https://github.com/Spu7Nix/obamify). You can make one image to transport to another image, which then the program will generate the process of going from on to another by simulating them as fluid.
The matching of image is done by matching them of 3 factors

  • Brightness (calculated by Perceived Brightness Formula:
    Brightness = 0.2126R + 0.7152G + 0.0722B.
  • Edges/Frequency (calculated with Laplacian Operator
  • Distance squared between two point (to provide a nicer transformation video
    After generating matches between two images, the transformation simulates fluid dynamics, allowing it to be as smooth as possible.
    I host a space on hugging face, which provide a demo (using gradio to make the UI) which allow the user to try the program without complicated installations.
    Thank you for reading this long text, don’t forget to star my GitHub project and like my Hugging face (this takes me so loooooooooooong!!!!)
Jazzzzzzzzzon

finally done v1!!!!!!!!!!!!!!!!!
definitely try it out and don’t forget to start my project (or else……………..)

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Jazzzzzzzzzon

intergrated Groq api into the program. now it can identify item brought from the OCR result by using gpt-oss-20b

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Jazzzzzzzzzon

why does it not show pound symbol?£££££££££?????????????????????????????????????????????????????????

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Jazzzzzzzzzon

Yolov12 finished!!!!!!!

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Comments

blitzy
blitzy about 1 month ago

cool project!

Jazzzzzzzzzon

I’m working on my first project! This is so exciting. I can’t wait to share more updates as I build.

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