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https://github.com/kowshik24/decoding-ai-vs-human

Decoding AI vs Human is an interactive web application that allows users to put any text and see if it was written by a human or an AI. This application is tranied on Machine Hack dataset
https://github.com/kowshik24/decoding-ai-vs-human

aws-ec2 machine-learning natural-language-processing render

Last synced: 25 days ago
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Decoding AI vs Human is an interactive web application that allows users to put any text and see if it was written by a human or an AI. This application is tranied on Machine Hack dataset

Host: GitHub
URL: https://github.com/kowshik24/decoding-ai-vs-human
Owner: kowshik24
Created: 2024-01-26T18:50:06.000Z (12 months ago)
Default Branch: main
Last Pushed: 2024-07-16T18:36:49.000Z (6 months ago)
Last Synced: 2024-07-16T22:48:12.566Z (6 months ago)
Topics: aws-ec2, machine-learning, natural-language-processing, render
Language: HTML
Homepage: https://decoding-ai-vs-human.onrender.com/
Size: 8.41 MB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

        # Decoding AI 🤖 vs Human 🙎‍♂️

Decoding AI vs Human is an interactive web application that allows users to put any text and see if it was written by a human or an AI. This application is tranied on **Machine Hack** dataset. The dataset is available [here](https://machinehack.com/hackathons/llm_hackathon_decoding_discourse_ai_vs_human/overview).

## Features 📋

- **Text Classification** - The application classifies the text into two categories: AI or Human.

## AWS Deployment 🚀

The application is deployed on render. The application is available [here](https://decoding-ai-vs-human.onrender.com/).

📹 Demo video:

---

![Demo Video](images/demo_2.gif)

## Getting Started 🚀

To get a local copy up and running follow these simple steps.

1. Clone the repository:

    ```bash

    git clone https://github.com/kowshik24/Decoding-AI-vs-Human.git

    ```

2. Install the requirements:

    ```bash

    cd Decoding-AI-vs-Human

    pip install -r requirements.txt

    ```

3. Run the application:

    ```bash

    python app.py

    ```

🎥 Demo:

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📸 Screenshots

| ![Sample 1](images/sample_1.png) | ![Sample 2](images/sample_2.png) |

|:--------------------------------:|:--------------------------------:|

|     **Sample Visualization 1**   |     **Sample Visualization 2**   |

| ![Sample 3](images/sample_3.png) | ![Sample 4](images/sample_4.png) |

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📞 Contact Information

For support, feedback, or contributions, please reach out to:

- 📧 **Email**: [[email protected]](mailto:[email protected])

- 📱 **Phone**: 01706 896161

- 🌐 **Website**: [https://kowshik24.github.io/kowshik.github.io/](https://kowshik24.github.io/kowshik.github.io/)

- 🚀 **GitHub**: [Kowshik Deb Nath](https://github.com/kowshik24)

- 🤝 **LinkedIn**: [Kowshik Deb Nath](https://www.linkedin.com/in/kowshik-deb-nath-7a0a3a1a0/)

---