[FOSSOVERFLOW-25] AI-Powered Review Analysis & Sentiment Detection

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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
nextjs, supabase, typescript
Domain
ai, data

Research direction

The issue names no files, tests, AI provider, or analysis model. First inspect the existing course-review flow in this Next.js, TypeScript, and Supabase repository, then clarify the implementation scope; done should cover sentiment, key themes, and trends over time for textual reviews.

Written by the indexing model from the issue text.

Description

help wanted

To enhance the usefulness of course reviews and make insights more actionable for students, we propose adding an AI-powered review analysis module. This feature will automatically analyze textual reviews to extract sentiment, key themes, and trends over time.

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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