Task Recommendation Based on User Behavior

[ranamanish674zu]

Objective: Use machine learning to recommend microautomations based on users' past behavior and preferences.
Method:
Implement a recommendation system that analyzes users' historical usage data (e.g., types of tasks automated, frequency).Utilize collaborative filtering or content-based filtering techniques to suggest new microautomations that are likely to be useful based on similar users' patterns. Incorporate natural language processing (NLP) to analyze task descriptions and user feedback for better recommendation accuracy.

Can you assign it to me? @prathamjagga

Full name: Manish Rana
GitHub profile link: https://github.com/ranamanish674zu
Email ID: [email protected]
Approach for this project : Machine Learning & python
What is your participant role?: GSSoC-2024 contributor

Can you add the label for GSSoC, i want to work on it
Thanks.

[github-actions]

Hi there! Thanks for opening this issue. We appreciate your contribution to this open-source project. We aim to respond or assign your issue as soon as possible.

[prathamjagga]

Assigned to you. @ranamanish674zu

[github-actions]

Hello @ranamanish674zu! Your issue #48 has been closed. Thank you for your contribution!