The objective of the project is to develop a web application based on a machine learning model for analyzing news in the economic domain and making relevant predictions. Users will have the ability to create an account where they can add their income and expenses on a monthly basis, monitoring their budget with the help of statistics. Additionally, they will have access to a news page that will provide selected data based on user preferences, which will be used to make predictions about the price movement of financial assets.
The technologies employed in this project are:
- MERN Stack: Utilizing MongoDB for the database, Express.js for the server, React for the front-end, and Node.js for server-side scripting.
- Machine Learning Model: BERT for tokenization and Feed-Forward like neural network - creating and training a machine learning model to analyze news data and make predictions.
- Web Scraping: Implementing web scraping techniques to collect relevant data for predictions.
BERT paper - https://arxiv.org/pdf/1810.04805.pdf
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