CSAT-Prediction-ANN

AI/ML project for predicting Customer Satisfaction using Neural Networks.

Customer Satisfaction (CSAT) Prediction using ANN

🚀 Project Overview

Developed an Artificial Neural Network (ANN) to predict customer satisfaction scores (1-5) based on support interaction data. This project was completed as part of my internship at Labmentix.

🛠️ Tech Stack

• Language: Python
• Libraries: TensorFlow, Keras, Scikit-Learn, Pandas
• Deployment: Streamlit

📈 Key Insights

• Resolution Time was the strongest predictor of customer happiness.
• Addressed class imbalance using SMOTE.
• Achieved high accuracy and balanced F1-scores across all rating categories.