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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

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

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