Features- Recommendation System based on users past activity and areas of interest.

[CodewithRajDeep]

📌 Description : PyEveryday offers multiple useful Python scripts, but users must manually explore them. This can feel overwhelming, especially for beginners who don’t know which scripts are most relevant to their needs. A Recommendation System will enhance the user experience by suggesting scripts based on usage history or script categories, making PyEveryday more intuitive and productive.

📌 Problems :

• No personalization or recommendations based on their workflow.

• No category or scripts injected which lacks users to browse all scripts, thus requiring need of any recommendation.

📌 Possible Solutions :

• Track user activity (e.g., which scripts they run most).

• Store usage logs for lightweight persistence, possibly store in json

• Build a simple recommendation model and provide suggestions as most often scripts used by users.

📌 Expected Outcome :

• Easier discovery of relevant tools inside PyEveryday.

• Personalized suggestions or recommendation systems for users.

• Improved user engagement

📌 As an OSCI contributor, I want like to help with this feature request.

[Vaibhav2154]

@CodewithRajDeep Please do write a proposal on how you plan to implement the above. I'll help you with thereafter

[CodewithRajDeep]

okay can I share you the proposal in nexfollow

[Vaibhav2154]

okay can I share you the proposal in nexfollow

Yeah sure!