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+# Emotion Classification with Neural Networks
 
+## Overview
+This project focuses on classifying emotions using neural networks. The goal is to build a model that can accurately predict emotions based on input data, utilizing various techniques in machine learning and deep learning.
+
+
+## Features
+- Implementation of different neural network architectures for emotion classification.
+- Data preprocessing techniques to prepare the dataset.
+- Performance evaluation metrics to assess model accuracy.
+- Visualizations to illustrate results and model performance.
+
+## Technologies Used
+- Python
+- TensorFlow / Keras
+- NumPy
+- Pandas
+- Matplotlib / Seaborn
+
+
+## Installation
+To get started with this project, follow these steps:
+
+1. Clone the repository:
+   ```bash
+   git clone https://github.com/Pranshu-jais/ML-Nexus.git
+
+<img width="570" alt="Screenshot 2024-10-06 110414" src="https://github.com/user-attachments/assets/390518c1-4c6a-4156-a2eb-371dba23264c">