Diesel-Price-Prediction-using-RNN

This project leverages Recurrent Neural Networks (RNN) to forecast diesel fuel prices based on historical data trends. Designed as a time series analysis model, it encapsulates the power of deep learning in predicting volatile economic indicators with improved accuracy and adaptability.

Key Features:

📊 Historical fuel price data ingestion & preprocessing.

🧠 RNN-based model architecture LSTM.

📈 Performance evaluation using RMSE.