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Drowsywings (talk | contribs) Created page with "== Project Abstract == The project aims to help users migrate from Windows to GNU/Linux by analyzing their system specifications, asking relevant questions, and recommending a ranked list of distributions based on their preferences. == Deliverables == * A MVP (Minimum Viable Product) that recommends a ranked list of distributions to the users switching from windows to linux == Mentors == * Joseph P. De Veaugh-Geiss ([@joseph:kde.org]) * Snehit Sah ([@flyingcakes:k..." |
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== Project Abstract == | = Win2Linux-Chooser: An app to help migrate from Windows to Linux = | ||
=== Project Abstract === | |||
The project aims to help users migrate from Windows to GNU/Linux by analyzing their system specifications, asking relevant questions, and recommending a ranked list of distributions based on their preferences. | The project aims to help users migrate from Windows to GNU/Linux by analyzing their system specifications, asking relevant questions, and recommending a ranked list of distributions based on their preferences. | ||
=== Deliverables === | |||
== Deliverables == | |||
* A MVP (Minimum Viable Product) that recommends a ranked list of distributions to the users switching from windows to linux | * A MVP (Minimum Viable Product) that recommends a ranked list of distributions to the users switching from windows to linux | ||
=== Mentors === | |||
== Mentors == | |||
* Joseph P. De Veaugh-Geiss ([@joseph:kde.org]) | * Joseph P. De Veaugh-Geiss ([@joseph:kde.org]) | ||
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* Aakarsh MJ ([@aakarshmj:matrix.org]) | * Aakarsh MJ ([@aakarshmj:matrix.org]) | ||
=== Weekly Progress === | |||
= | ==== Week 1 ==== | ||
=== Week 1 === | |||
* Discussed criteria for recommending distributions. | * Discussed criteria for recommending distributions. | ||
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* Started working on the recommendation engine logic. | * Started working on the recommendation engine logic. | ||
=== Week 2 === | ==== Week 2 ==== | ||
* Decided on parameters to rate distributions: | * Decided on parameters to rate distributions: | ||
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* Decided to use PySide6 + Kirigami for the project. | * Decided to use PySide6 + Kirigami for the project. | ||
=== Week 3 === | ==== Week 3 ==== | ||
* Set up the basic repository on KDE Invent. | * Set up the basic repository on KDE Invent. | ||
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# Calculating similarity with the user preference vector. | # Calculating similarity with the user preference vector. | ||
=== Week 4 === | ==== Week 4 ==== | ||
* Basic recommendation engine operational using dot product; switching to cosine similarity. | * Basic recommendation engine operational using dot product; switching to cosine similarity. |
Latest revision as of 12:39, 23 February 2025
Win2Linux-Chooser: An app to help migrate from Windows to Linux
Project Abstract
The project aims to help users migrate from Windows to GNU/Linux by analyzing their system specifications, asking relevant questions, and recommending a ranked list of distributions based on their preferences.
Deliverables
- A MVP (Minimum Viable Product) that recommends a ranked list of distributions to the users switching from windows to linux
Mentors
- Joseph P. De Veaugh-Geiss ([@joseph:kde.org])
- Snehit Sah ([@flyingcakes:kde.org])
- Aakarsh MJ ([@aakarshmj:matrix.org])
Weekly Progress
Week 1
- Discussed criteria for recommending distributions.
- Decided to ask 4-5 questions without excessive technical details.
- Explored distributions suitable for beginners, including Kubuntu, Fedora KDE, Linux Mint, and Lubuntu.
- Started working on the recommendation engine logic.
Week 2
- Decided on parameters to rate distributions:
# Ease of installation # Old hardware support # Good documentation # Community support # Updates
- Finalized JSON format for questions and CSV format for distribution weights.
- Chose local processing over server-side for privacy and efficiency.
- Decided to use PySide6 + Kirigami for the project.
Week 3
- Set up the basic repository on KDE Invent.
- Implemented the basic UI.
- Worked on hardware detection using WMI and psutil.
- Discussed filtering methods for the recommendation engine:
# Agreed on using a cosine similarity model. # Treating each distribution as a vector. # Calculating similarity with the user preference vector.
Week 4
- Basic recommendation engine operational using dot product; switching to cosine similarity.
- Majority of the desktop client UI completed.
- Improved the questionnaire and refined the algorithm by adding a penalty criterion.
- Researched driver and external hardware support.