Contact person: Automated Counterfeit Detection and Reporting System

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Location: Dehli, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I need a robust system to combat counterfeit products and sellers on e-commerce platforms like Amazon and Alibaba. The project involves integrating an e-commerce scraper API with a large language model (LLM) like GPT or Gemini to detect fraudulent activities.

Key Components:
- Data Scraping: Gather product details, seller info, and customer reviews.
- Detection Mechanism: Employ a method (not limited to ML or rule-based) to identify counterfeits by integrating with LLM
- Takedown Engine: Automate reporting and removal of counterfeit listings.
- Technology Stack: Frontend in React, Backend in Python. I have some basic backend code and UI screens ready.
- Testing: Evaluate various e-commerce platforms and data sources for optimal performance.

Ideal Skills:
- Experience with APIs and data scraping
- Proficiency in Python and React
- Familiarity with LLMs and fraud detection methods
- Background in automation and integration with e-commerce platforms

Looking for a candidate who can efficiently build the data layer, detection layer, and takedown engine." (client-provided description)