Welcome to the VSNE Career Mentor Bot repository! This project was built during the NoSu AI Hackathon by a team of four passionate developers to create an AI-powered career mentor. The bot is designed to guide users toward their ideal career paths, offering tailored roadmaps and resources. 🌟
This is for the 2025 nosu hackathon! A team of four baddies in tech made this project come to life!
- Most Technically impressive - Modal
- Beginner track
- Best personal project (CodeBuff)
- Statsig Grand Prize, Best overall project
- Magic Loops
- Generative UI/UX
- Nethenoob spinning cat
- Bill Zhang Conversational AI Prize
- Education and AI
- Personalized Career Roadmap 🗺️: A step-by-step guide to achieving your dream career, with actionable steps and course links.
- Interactive Chat with Sage 💬: Get advice and insights from Sage, our AI-powered chat assistant.
- User-Friendly Interface 🎨: A clean and modern design for seamless navigation.
- Dark Mode Support 🌙: Switch between light and dark themes to suit your preference.
- Overview of the bot and its capabilities.
- Steps on how to use the platform.
- Call-to-action buttons to get started or learn more.
- Collects user information like name, interests, current skills, and career goals.
- Provides a seamless way to start the personalized experience.
- Displays the most recommended career path based on user input.
- Features a dynamic roadmap with 10 color-coded pointers for actionable steps.
- Each step includes an explanation and a link to relevant courses or resources.
- Includes interactive guidance from Sage to help users along the way.
- Frontend: React, Vanilla CSS
- Backend: Flask, SQLAlchemy
- AI/ML: OpenAI API for conversational intelligence
- Database: SQLite
- Additional Tools: HTML, CSS, JavaScript
- Frontend: Vercel for React app.
- Backend: Vercel for Flask API.
- Clone the repository
git clone https://github.com/Nicsims98/Career_mentor_bot.git
- Change directory to the project folder
cd Career_mentor_bot
NOTE: Make sure to do this for both the frontend and backend terminal first before the other commands.
##For the backend
- Inside the Career_mentor_bot directory, go to code-for-sage folder, and then src folder.
cd code-for-sage- Create a virtual environment in a terminal:
python -m venv venv
source venv/bin/activate # on Mac/Linux
venv\Scripts\activate # on windows- Install dependencies:
pip install -r requirements.txt- Set up environment variables (create a .env file)
echo "FLASK_ENV=development">.env
echo "DATABASE_URL=sqlite:///sage.db">>.env
- Initialize the database
flask db init
flask db migrate
flask db upgrade
- Run the Flask application
python app.py
##For the frontend In another terminal,
- Install dependencies(node.js)
npm install
- Run the front end
npm run dev
- The project should run on
http://localhost:5173
- Advanced AI Capabilities:
- More in-depth career path analysis.
- Real-time user feedback integration.
- Career comparison tool (e.g., compare two roles).
- Mentorship Matching:
- Mentor matching based on career goals.
- Basic Resume Analysis
- Upload a resume to receive:
- Skill gaps for target roles: Basic improvement tips (e.g., adding action verbs or quantifying achievements).
- Save Progress/History: Enable users to save their profile and revisit recommendations or chat history.
- Internship Finder
- Find potential internships for user to apply to.
- Incorporate gamification elements for user engagement.
- Nic: AI integration and Flask API development.
- Ewa: Frontend development and design.
- Sab: Backend development and database management.
- Vee: Web scraping for internships and LinkedIn profiles.
Thank you for checking out the VSNE Career Mentor Bot! 🌈 If you have any questions or feedback, please feel free to reach out. Let’s help you take the next step in your career journey! 💼✨