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-# Auto-ML
+# Auto-ML Web Application
+
+## Overview
+
+Auto-ML is a web platform designed to automate the process of training machine learning models. The platform allows users, even those without a background in machine learning or data science, to upload datasets, select algorithms, train models, evaluate their performance, and deploy them. The platform simplifies the entire machine learning workflow, making it accessible to a wider audience.
+
+### Key Features
+- **Dataset Upload:** Users can upload datasets for training.
+- **Algorithm Selection:** Choose from a variety of machine learning algorithms.
+- **Model Training:** Automate the training of machine learning models.
+- **Data Preprocessing & Visualization:** Built-in tools for data preprocessing, validation, and visualization.
+- **Model Evaluation:** Evaluate model performance using key metrics.
+- **Model Testing & Deployment:** Test models with inputs and deploy them for public access.
+- **Model Download:** Users can download the trained model and use it elsewhere.
+
+---
+
+## Technologies Used
+
+- **Backend:** Python, Flask
+- **Database:** MongoDB
+- **Machine Learning Libraries:** scikit-learn, pandas, matplotlib, etc.
+- **Frontend:** HTML, CSS, JavaScript
+
+---
+
+## Installation Instructions
+
+### Method 1: By Cloning the Git Repository
+
+1. **Install Python 3.6 or later**
+   Download and install Python from [here](https://www.python.org/downloads/).
+
+2. **Clone the Git Repository**
+   ```bash
+   git clone https://github.com/Hemanthghs/Auto-ML
+Navigate to the Project Directory
+
+```bash
+cd Auto-ML
+Install Virtualenv
+```
+
+```bash
+pip install virtualenv
+Create a Virtual Environment
+```
+
+```bash
+virtualenv env
+Activate the Virtual Environment
+```
+
+Linux/Mac OS:
+```bash
+source env/Scripts/activate
+```
+
+Windows:
+```bash
+env/Scripts/activate
+Install Required Dependencies
+```
+
+```bash
+pip install -r requirements.txt
+Start the Server
+```
+
+```bash
+python app.py
+```
+
+Start App Using Docker Image
+```
+Install Docker Engine Follow the installation guide here.
+
+Pull the Docker Image
+```
+
+```bash
+docker pull hemanthghs/automl
+Run the Docker Container
+```
+
+```bash
+docker run -p 1234:1234 hemanthghs/auto-ml
+Usage Instructions
+Start the Web Server
+```
+
+
+