Frontend: Next.js, Material UI, React Query
Backend: NestJS
AI Models: GROQ (Generative Query Optimized Models)
Gahigi is a virtual mentor designed to help young professionals in Rwanda kick-start their careers. The platform uses AI to provide personalized assistance in the following areas:
-
Interview Practice
Gahigi simulates job interviews, providing real-time feedback to help you improve your interview skills and performance. -
Skill-building Exercises
Engage in interactive scenarios designed to help you develop essential workplace skills through hands-on practice. -
Personalized Career Advice
Gahigi offers tailored guidance based on your unique interests and strengths, helping you navigate the right career path. -
Job Market Insights
Stay informed about entry-level opportunities in Rwanda's job market. Gahigi keeps you up-to-date with relevant job listings and industry trends.
- Boost confidence among young professionals.
- Enhance employability through practical skill-building.
- Provide personalized career guidance to help users take their first steps in the professional world.
- Next.js: A React framework for building fast and scalable web applications.
- Material UI: A popular React UI framework for building responsive, modern user interfaces.
- React Query: A powerful tool for fetching, caching, and synchronizing server state in React applications.
- NestJS: A progressive Node.js framework for building efficient, scalable server-side applications.
- GROQ Models: Used to power Gahigi’s AI features for interview simulations, skill assessments, and personalized advice.
git clone https://github.com/your-username/gahigi-ai-career-coach.git
cd gahigi-ai-career-coach
2. Setup Frontend (Next.js)
Navigate to the frontend directory:
bash
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cd frontend
Install dependencies:
bash
npm install
npm run dev
3. Setup Backend (NestJS)
Navigate to the backend directory:
bash
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cd ../backend
Install dependencies:
bash
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npm install
Create a .env file and add the required environment variables:
bash
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PORT=4000
DATABASE_URL=your_database_url
GROQ_API_KEY=your_groq_api_key
Run the backend server:
bash
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npm run start:dev