[FOSSOVERFLOW-25] Smart Course Recommendation System

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
next.js, supabase, typescript
Domain
backend, machine-learning

Research direction

Start by reviewing the Next.js, TypeScript, and Supabase architecture to determine where course preferences, academic background, and historical interactions are stored and accessed. Define the recommendation inputs, expected course results, and a measurable completion criterion before implementing the engine.

Written by the indexing model from the issue text.

Description

help wanted

Introduce a smart recommendation engine to help students discover relevant courses based on their preferences, academic background, and historical interactions.

Dominant language
TypeScript
Stars
0
Forks
26
No merged PRs in 30d

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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