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docus.autos

AI into your documents
Explore the docus.autos »

Table of Contents
  1. About The Project
  2. Built with
  3. Roadmap
  4. License
  5. Contact
  6. Acknowledgments

About The Project

Product Name Screen Shot

This app was developed to participate in the Hanko Hackathon and it consists of an 🚀 AI App 🤖

Inside the app, you will find several functionalities, including:

  • 🎥 Video files

    • Ability to generate summaries (also works with videos directly from YouTube! 🎬)
    • Create catchy descriptions and titles for YouTube (useful for content creators 📹)
    • Customized prompts ✨
    • Chat with AI about the video 🗨️
  • 📄 Article files (PDFs)

    • Ability to generate concise summaries 📝
    • Capability to create blog posts (useful for content creators 📝)
    • Customized prompts ✨
    • Chat with AI about the article 🗨️
  • 🔊 Audio files (PDFs)

    • Ability to generate audio summaries 🔊
    • Ability to create audio transcriptions 🔊
    • Customized prompts ✨
    • Chat with AI about the audio 🗨️
  • 🌐 Websites (URL)

    • Ability to create a summary for a website 🌐
    • Ability to generate an FAQ ❓
    • Ability to create a tutorial/guide (useful for content creators 📚)
    • Customized prompts ✨
    • Chat with AI about the website 🗨️

And of course, the most important feature, the use of Hanko as an authentication system, easy and practical! 🔒

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Built With

Front-end

  • Node 🟢
  • Typescript 📘
  • Vite 🌀
  • React ⚛️
UI
  • Tailwind CSS 🎨
  • Radix UI 🖌️
  • Shadcn UI 🎆

AUTH

Hanko 🔒

Back-end

  • Node 🟢
  • Typescript 📘
  • Fastify 🚀
  • AI (Vercel) 🤖
  • OpenAI 🧠
  • ORM: Prisma 🛠️
  • Database: MongoDB 📊

Hosting

  • Front end: Vercel 🔼
  • Back end: Render 🛼
  • Database: Mongo Cloud 🌿

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Roadmap

  • Host the backend on render
  • Host the frontend on vercel
  • Add option for language choose on generate transcriptions
  • Add option for new gpt modeles

License

Distributed under the MIT License. See LICENSE for more information.

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Contact

Ricardo Freitas - @rmotafreitas

Project Link: https://github.com/rmotafreitas/docus.autos

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Acknowledgments