Skip to content
V3dha6Public

About

Agentic trend analysis system for app reviews using local vector embeddings and semantic deduplication.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Latest commit

 

History

1 Commit

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

App Review Trend Agent (Local AI)

An intelligent agentic system designed to scrape Google Play Store reviews, extract recurring issues, and track 30-day trends using semantic deduplication.

Key Features

Agentic Deduplication: Uses a local Vector Database (ChromaDB) to merge similar issues (e.g., "rider late" and "delivery delay") without expensive LLM API calls. T-Minus 30 Analysis: Automatically calculates daily counts for identified topics over a rolling 30-day window. Privacy-First & Free: Utilizes local HuggingFace embeddings (all-MiniLM-L6-v2)—no OpenAI/Anthropic API keys required.

Architecture

  1. Scraper: Fetches raw data via google-play-scraper.
  2. Trend Agent: Processes each review. It performs a semantic search against

About

Agentic trend analysis system for app reviews using local vector embeddings and semantic deduplication.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages