Awesome

AI Resume Portfolio

This template portfolio is designed to showcase your skills and experience in a modern, visually appealing format. It comes with a Large Language Model (LLM) web application that generates personalized cover letters tailored to your job applications 😎

The template leverages Groq LLM, Minio for static asset management, Typebot for interactive chatbots, and Lottiefiles for animations.

Live demo here

Features

• LLM Integration: Generate cover letters with ease using Groq LLM.
• Image Management: Easily manage and display your tech logos and other images with Minio.
• Interactive Chatbot: Enhance user experience with a customizable chatbot.
• Animations: Bring your portfolio to life with animations from Lottiefiles.

Set Up Guide

1. Groq LLM

To utilize the cover letter generation feature, you need to set up Groq LLM:

1. Sign up for a Groq account.
2. Create an API key.
3. Add the API key to your .env file.
4. (Optional) Set up the rate limiter module in the nuxt.config.ts

2. Minio

Minio is used in this template to manage and serve static images, such as technology logos:

1. Follow the official Minio documentation to set up your instance here.

2. Edit the .env.example file with your Minio environment variables.

3. Plug in your static files accordingly.

   You can further customize the Minio integration by editing the minio.ts and images.ts server files located in server/api.

Note: If you prefer not to use Minio, you can modify the ImageGrid.vue component to load images directly from the public directory in your Nuxt application.

3. Typebot

For adding a custom, highly configurable chatbot:

1. Set up your Typebot server.
2. Edit the plugins/typebot.client.js file with your bot's configuration.
3. Integrate it into your nuxt.config.ts file.

4. Animations

To incorporate animations, explore free options available on Lottiefiles. You can easily add these animations to your portfolio like you can see in the contact.vue or index.vue page.

Installation

Follow these steps to set up and run the project:

1. Clone the repository.
2. Install dependencies using your preferred package manager (yarn, npm, etc.). Example with yarn:

   yarn install
   

3. Edit your .env file and start the development server with:

   yarn dev
   

Contributing

Contributions are welcome! If you have ideas for features, improvements, or bug fixes, feel free to submit an issue/pull request.

License

This project is licensed under the MIT License.

Feel free to tweak any section to better match your style or preferences. Happy coding 🚀