Add Project — Predicting Interest Rate Movements Using Deep Learning

[keshripritesh]

🧾 Issue: Add Project — Predicting Interest Rate Movements Using Deep Learning

📘 Description

This issue proposes adding a new deep learning project titled "Predicting Interest Rate Movements Using Deep Learning".
The project focuses on forecasting future interest rate changes based on key macroeconomic indicators such as GDP growth, inflation, unemployment rate, and stock index performance.

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🎯 Objectives

• Generate a synthetic dataset simulating economic conditions.

• Perform Exploratory Data Analysis (EDA) to identify relationships among variables.

• Build and compare three deep learning models:

  • Multiple Layer Perceptron (MLP)
  • Convolutional Neural Network (CNN)
  • Recurrent Neural Network (RNN)

• Evaluate model performance and interpret results.

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🧠 Tech Stack

• Language: Python
• Libraries: NumPy, Pandas, TensorFlow/Keras, Matplotlib, Seaborn
• Environment: Jupyter Notebook

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🗂 Deliverables

• Synthetic dataset generation script
• EDA notebook
• MLP, CNN, and RNN model training notebooks
• Evaluation report with visualizations

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🔧 Expected Outcome

A deep learning-based system capable of predicting interest rate trends based on synthetic macroeconomic data, with visual insights and comparative model performance metrics.