This project leverages databases and AI models to interpret financial information, providing insights and analysis for improved decision-making. The combination of a robust database system and advanced AI models allows users to gain valuable insights into financial data, helping to streamline financial processes and enhance overall financial management.
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Database Integration: Utilizes a relational database to store and manage financial data efficiently. We recommend [Database System] for optimal performance.
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AI Models: Employs state-of-the-art AI models for financial interpretation. The AI models are trained to analyze and extract meaningful patterns from the financial data, providing insights into trends, anomalies, and potential opportunities.
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User-Friendly Interface: A user-friendly interface allows users to interact with the system seamlessly. It includes features for querying the database, visualizing financial data, and accessing AI-driven insights.
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AI Model Inference:
- Trigger the AI model for financial interpretation
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Interact with the Interface:
- Explore financial data, query the database, and view AI-generated insights.
- Adjust the configuration settings in
config/config.ymlto customize database connection details, AI model parameters, and other settings.
We welcome contributions! If you would like to contribute to the project, please follow the guidelines outlined in CONTRIBUTING.md.
This project is licensed under the MIT License - see the LICENSE file for details.
Thank you for your time ! and make sure to check all the branches .