PPH leverages databases and AI models to interpret financial information, providing insights and analysis for improved decision-making.
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Database Integration: Utilizes a relational database to store and manage financial data efficiently
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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.yml
to customize database connection details, AI model parameters, and other settings.
This project is licensed under the MIT License - see the LICENSE file for details.