Leverage the power of machine learning to unveil future trends in India's foreign exchange reserves with pinpoint precision, fueled by authoritative RBI data.
The IndianFutureReserves is a Streamlit-powered application that leverages the power of machine learning to predict India's future foreign exchange reserves. Powered by a sophisticated Prophet model, trained on authoritative data from the Reserve Bank of India, this application provides users with an intuitive and interactive platform to explore and understand the dynamics of India's financial fortunes.
If you are interested in training you own model then visit my ML_Projects github repo and go to Indian Economy-Foreign Exchange Reserves Prediction folder to access the Jupyter Notebook.
- Intuitive User Interface: The Streamlit-based application offers a user-friendly interface, making it accessible to economists, policymakers, students, and anyone interested in the Indian economy.
- Accurate Predictions: The application's machine learning model, trained on a comprehensive dataset from the RBI, ensures reliable and accurate forecasts of India's foreign exchange reserves.
- Interactive Exploration: Users can explore the predicted future trends by adjusting various economic indicators, such as forward premia, interest rates, and yield curves.
- Session History: Users can view the history of their previous predictions and interactions with the application, allowing them to track their explorations.
- Download Session History: Users can download the session history as csv file.
To use the IndianFutureReserves application, follow these steps:
-
Clone the Repository: Start by cloning the repository to your local machine.
git clone https://github.com/your-username/IndianFutureReserves.git -
Install Dependencies: Ensure you have the necessary dependencies installed. You can do this by running the following command in your terminal or command prompt:
pip install -r requirements.txt -
Run the Application: Launch the Streamlit application by running the following command:
streamlit run main.py
2024-04-05.19-49-45.mp4
- Explore and Predict: Once the application is running, you can start exploring the various economic indicators and make predictions about India's future foreign exchange reserves.
Contributions to the IndianFutureReserves project are always welcome! If you find any issues or have suggestions for improvements, please feel free to open an issue or submit a pull request.
This project is licensed under the MIT License.
For any inquiries or feedback, please feel free to reach out to the project maintainer at [email protected].