Data Predictor: AI-Powered Data Analysis Tool

Demo

Demo.-.DataPedictor.mp4

FULL HD VIDEO

Table of Contents

1. Introduction
2. Objective
3. Features
4. Architecture
5. Requirements
6. Application
   • Backend with FastAPI
   • Frontend with Vue.js
7. Usage Instructions
8. Contributions
9. License
10. Authors

Introduction

Data Predictor is a web application designed to facilitate the analysis of CSV data using AI models. Users can upload their datasets, select target columns, and receive predictions powered by advanced AI algorithms.

Objective

The main objective of this project is to provide an intuitive interface for users to upload their data and obtain predictions seamlessly. By leveraging PyCaret and FastAPI, this tool aims to simplify data analysis and empower users with actionable insights.

Features

• Upload CSV files for analysis
• Dynamic selection of target columns
• Automatic data preprocessing using PyCaret
• User-friendly interface built with Vue.js
• Responsive design for optimal user experience

Architecture

The application consists of two main components: the backend and the frontend.

• Backend: Built using FastAPI, the backend handles data uploads, processes the data, and returns predictions.
• Frontend: Developed with Vue.js, the frontend provides an interactive user interface for uploading files and displaying predictions.

Requirements

To run this project, you'll need the following:

• Python 3.8 or higher
• Node.js 14 or higher
• FastAPI
• PyCaret

Application

Backend with FastAPI

The backend is structured to handle data processing and predictions efficiently.

1. Navigate to the backend directory:

   cd D:\DataPredictor\backend

2. Create a virtual environment and install dependencies:

   python -m venv env
   # Activate the virtual environment:
   # Windows
   env\Scripts\activate
   # Linux/MacOS
   source env/bin/activate
   pip install -r requirements.txt

Frontend with Vue.js

The frontend is designed to be responsive and user-friendly.

1. Navigate to the frontend directory:

   cd D:\DataPredictor\frontend

2. Install the necessary Node.js packages:

   npm install

Usage Instructions

To use the application, follow these steps:

1. Clone the repository

   git clone https://github.com/pablosierrafernandez/DataPredictor.git

2. Set up the backend by following the instructions in the Backend with FastAPI section.

3. Set up the frontend by following the instructions in the Frontend with Vue.js section.

4. Start the backend server

   uvicorn main:app --reload

5. Start the frontend development server

   npm run serve

6. Access the application

   Open your browser and navigate to http://localhost:8080 to use the application.

Contributions

Contributions are welcome! Please follow the contributing guidelines.

License

This project is licensed under the MIT License.
See the LICENSE file for details.

Authors

• @pablosierrafernandez: Developer of the project.