A Privacy-First Local Price Comparator (Open-Source AI Side Hustle)

Описание и применение

Инструмент сравнения цен, работающий полностью локально, защищает личные данные пользователей от сторонних сервисов.

Задача

Users want to compare prices across e-commerce sites without exposing their browsing history and personal data to third‑party services.

Результат

The tool enables privacy‑conscious shoppers to compare prices locally, eliminating data leakage to external services.

Рабочий процесс

• 1. User inputs a product URL into the tool.
• 2. Tool scrapes the raw HTML of the product page using standard Python scraping libraries.
• 3. Local AI model (open‑weight, e.g., Google’s Gemma) parses the HTML, extracts price, shipping cost, and product specs.
• 4. Model outputs a clean JSON comparison for the user.
• 5. All processing occurs locally; no data leaves the user’s machine.

Доказательства

Most popular price‑tracking extensions operate on a data theft model: they give you discounts, but they harvest your browsing history, shopping habits, and personal profiles to sell to advertisers.

Источник

Instead of relying on centralized APIs that log user queries, this project uses local inference.

Источник

The local AI model is prompted to parse the messy HTML, extract the exact price, shipping costs, and product specs, and output a clean JSON comparison—all without any data ever pinging an external server.

Источник