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https://github.com/akshitlakhera/interviewgenius-ai
A full stack AI based application to prepare for tech interviews.Using cloudflare workers in backend with postgres sql as database with prisma as orm.React ts is used in frontend with tailwind css for styling.
https://github.com/akshitlakhera/interviewgenius-ai
expressjs node-js nodemon postgresql prisma python3 react tailwindcss typescript
Last synced: 22 days ago
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A full stack AI based application to prepare for tech interviews.Using cloudflare workers in backend with postgres sql as database with prisma as orm.React ts is used in frontend with tailwind css for styling.
- Host: GitHub
- URL: https://github.com/akshitlakhera/interviewgenius-ai
- Owner: AkshitLakhera
- Created: 2024-05-21T17:30:28.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-07-03T06:10:43.000Z (6 months ago)
- Last Synced: 2024-10-25T10:42:42.862Z (2 months ago)
- Topics: expressjs, node-js, nodemon, postgresql, prisma, python3, react, tailwindcss, typescript
- Language: TypeScript
- Homepage:
- Size: 591 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Interview Genius AI
## Overview
Interview Genius AI is an innovative platform designed to assist individuals in practicing technical interviews using AI-driven tools. The initial phase of the project focuses on resume parsing to extract key information, enabling personalized interview preparation.
## Features
- **Resume Upload and Parsing**: Users can upload their resumes (in PDF format) for automatic extraction of important details such as name, email, phone number, skills, experience, and education.
- **AI-Generated Interview Questions**: Based on the parsed resume data, the platform generates customized interview questions to help users prepare effectively.
- **Interactive Interview Practice**: Users can simulate interview scenarios and receive feedback on their responses.
- **Voice-to-Text Integration**: Utilizes Assembly AI for voice-to-text conversion during interview practice sessions.
## Tech Stack
### Frontend
- **React with TypeScript**: User interface development.
- **Axios**: HTTP requests handling.
### Backend
- **Node js**: Using nodejs a backend.
- **Prisma**: Database ORM for PostgreSQL.
- **Python**: Scripting for resume parsing.
- **Expressjs**:Used to create the scalable webservers
### Development Setup
#### Prerequisites
- Node.js and npm installed.
- PostgreSQL database setup.
- Python installed.
#### Backend:
1. **Clone the Repository**:
```bash
git clone https://github.com/yourusername/interview-genius-ai.git
cd interview-genius-ai
```
2. **Navigate to Backend**:
- ```bash
cd backend
```
```
- Create a copy of .env.example and name the file .env
- Set up Postgres DATABASE_URL in .env file. You can get a free PostgreSQL connection string from Aiven.io.
```
3. **Install Dependencies**:
```bash
npm install
```
4. **Environment Configuration**:
- Create a `.env` file in the root directory with your environment variables:
```plaintext
DATABASE_URL=your_postgresql_database_url
ASSEMBLY_AI_API_KEY=your_assembly_ai_api_key
```
5. **Run the Application**:
```bash
npm run dev
```
6. **Deployment**:
- ```bash
npm run deploy
```
### Frontend:
1- Navigate to frontend:
```bash
cd frontend
```
2- Install dependencies:
```bash
npm install
```
3- Run frontend locally:
```bash
npm run dev
```