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NEXTGEN

Your all-in-one hub for advanced data visualization, AI-powered insights, and seamless learning in ML, DL, and EDA.
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Table of Content

  1. About The Project
  2. Getting Started
  3. Contributing
  4. About Us

About The Project

### Introduction

NEXTGEN is a groundbreaking platform designed to simplify data analysis, visualization, and AI/ML learning. It integrates intuitive tools like PlotWizard, AI-Sphere, and DocsWhisper to offer an all-in-one experience for students, data analysts, and machine learning enthusiasts. With cloud support via Microsoft Azure, it ensures scalability and accessibility for real-world projects.


Features

  1. PlotWizard

    • Generate stunning visualizations like histograms, scatter plots, and heatmaps effortlessly.
    • Export Python code and generate detailed PDF reports of your visual analysis.
  2. AI-Sphere

    • A chatbot powered by AI to help users master ML/DL concepts.
    • Includes tutorials, problem-solving capabilities, and concept exploration.
  3. DocsWhisper

    • Upload PDFs or datasets to extract actionable insights.
    • Generate comprehensive reports in formats like PDF and HTML.
  4. EDASolver

    • Perform exploratory data analysis with advanced tools.
    • Identify trends, handle outliers, and get detailed data insights.
  5. Microsoft Azure Integration

    • Deploy models to the cloud and scale solutions for production-level tasks.

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DEMO

NEXTGEN.mp4

Built With

  • Streamlit
  • Python
  • Azure

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Getting Started

Prerequisites

Ensure you have the following tools installed:

  • Python 3.8 or higher
  • pip (Python package manager)
  • Streamlit
  • Microsoft Azure account for cloud deployment

Installation

  1. Clone the repository:

    git clone https://github.com/MAYANK12SHARMA/NEXTGEN.git
  2. Install dependencies:

    pip install -r requirements.txt
  3. Run the application locally:

    streamlit run Main.py

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Contributing

Contributions are welcome!

  1. Fork the repository
  2. Create a feature branch:
        git checkout -b feature/AmazingFeature
  3. Commit your changes:
        git commit -m 'Add new feature'
  4. Push to the branch:
        git push origin feature/AmazingFeature
  5. Open a pull request

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About Us

NEXTGEN is developed and maintained by a team of passionate data scientists and AI enthusiasts. Our goal is to empower users with the tools and knowledge they need to succeed in the world of data analytics and AI.

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