Feature:
Currently, users manually choose frame styles and colors. This feature proposes an AI-powered smart suggestion system that automatically recommends or generates frame styles, accent colors, and overlays based on the user’s GitHub profile theme (light/dark), top languages, or activity type.
Proposed Solution
When a user requests:
GET /api/smart-frame/:username
The backend:
Fetches public GitHub data (/users/:username + /repos).
Analyzes:
- Dominant languages (for color palette)
- Activity level (for frame intensity)
- Bio keywords (for mood/theme)
Generates:
- Accent color palette
- Suggested frame type (tech, nature, retro, etc.)
- Optional text/emoji overlays that match their vibe
I'd like to work on this issue ,,Assign it to me @ashmeet07
Feature:
Currently, users manually choose frame styles and colors. This feature proposes an AI-powered smart suggestion system that automatically recommends or generates frame styles, accent colors, and overlays based on the user’s GitHub profile theme (light/dark), top languages, or activity type.
Proposed Solution
When a user requests:
GET /api/smart-frame/:username
The backend:
Fetches public GitHub data (/users/:username + /repos).
Analyzes:
Generates:
I'd like to work on this issue ,,Assign it to me @ashmeet07