MarketMerge — AI desktop application for price forecasting

MarketMerge has been created — a non-commercial desktop application for intelligent price forecasting in the e-commerce and online marketplace sectors. The program uses machine learning to analyze product data, predict prices, and identify market patterns through a user-friendly local interface.

The project combines a desktop frontend with AI models for price prediction. It can be useful for sellers on marketplaces, analysts, or individuals interested in optimizing pricing strategies. The application supports data processing, product analysis, price forecasting, visual analytics, and local work with machine learning models.

Key features:

- AI price forecasting
- Analysis of product data from marketplaces
- Data processing and cleaning
- Visual analytics and charts
- Local desktop application
- Integration with trained ML models
- Working with CatBoost models
- Use of NER model for extracting product features
- Practical use case for e-commerce and price prediction

Technologies / skills:
Python, Pandas, NumPy, CatBoost, NER, Node.js, Electron, JavaScript, HTML, CSS, machine learning, data preprocessing, desktop development.