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https://github.com/ajay-308/verbolearn
An advanced platform for enhancing English skills through interactive chat, personalized tasks, and resume optimization.
https://github.com/ajay-308/verbolearn
clerk clerkauth fastapi flask gemini nextjs14 postgresql prisma python webhook-server
Last synced: 5 days ago
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An advanced platform for enhancing English skills through interactive chat, personalized tasks, and resume optimization.
- Host: GitHub
- URL: https://github.com/ajay-308/verbolearn
- Owner: Ajay-308
- Created: 2024-09-27T09:49:37.000Z (about 2 months ago)
- Default Branch: master
- Last Pushed: 2024-11-10T16:16:48.000Z (7 days ago)
- Last Synced: 2024-11-10T17:24:23.462Z (7 days ago)
- Topics: clerk, clerkauth, fastapi, flask, gemini, nextjs14, postgresql, prisma, python, webhook-server
- Language: TypeScript
- Homepage:
- Size: 7.49 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Verbo Learn
Verbo Learn is a project designed to assist individuals in their job search journey by
providing various features to enhance their resume, interview preparation, and English
language skills.
# Features
### 1. Resume Score Calculator :
Verbo Learn's Resume Score Calculator evaluates the suitability of a user's resume for a
specific job position. It provides:
1. **Resume Upload**: Users can upload their resume document.
2. **Job Description Input**: Users provide a job description or details about the position
they are interested in.
3. **Matching Analysis**: The system compares the resume with the job requirements.
4. **Score Generation**: Verbo Learn generates a score reflecting the alignment
between the resume and job requirements.
5. **Feedback**: Detailed feedback is provided along with the score.
### 2. Interview Preparation with AI :
Verbo Learn's Interview Preparation feature simulates interview scenarios to help users
refine their skills. It includes:
1. **AI Chatbot Jarvis**: Conducts mock interviews with users.
2. **Job-Specific Questions**: Users input the job description.
3. **Mock Interview**: Jarvis asks job-specific interview questions.
4. **Realistic Simulation**: The experience closely simulates real interviews.
5. **Feedback and Improvement**: Users receive constructive feedback on their
answers.
### 3. English Language Improvement :
Verbo Learn's English Language Improvement feature enhances users' English skills
through interactive conversations:
- **Interactive Chatbot**: Users engage in conversations in English.
- **Conversational Practice**: The chatbot initiates conversations on various topics.
- **Grammar Correction**: Identifies and corrects grammar errors in real-time.
- **Vocabulary Enhancement**: Offers suggestions to improve vocabulary and phrasing.
- **Personalized Guidance**: Provides tailored advice based on users' proficiency levels.
## Usage
1. **Resume Score Calculation**:
- Upload your resume.
- Input a job description.
- Receive a score indicating how well your resume matches the job requirements.
2. **Interview Preparation with AI**:
- Input a job description.
- Engage in a mock interview with Jarvis.
- Practice answering interview questions and receive feedback.
3. **English Language Improvement**:
- Interact with the chatbot in English.
- Engage in conversations, receive corrections, and improve your English skills.
## Contribution Guidelines
Contributions to Verbo Learn are welcome! If you'd like to contribute, please follow these
guidelines:
- Fork the repository and create a new branch for your contributions.
- Ensure your code follows the project's coding standards and guidelines.
- Submit a pull request detailing the changes you've made and the problem they address.
## Getting Started:
- To use Verbo Learn, follow these steps:
1. Clone the repository to your local machine:
```bash
git clone https://github.com/Ajay-308/verboLearn.git
```
2.Navigate to the project directory:
cd verboLearn
3. Install any necessary dependencies specified in the documentation.
```bash
npm install
4.Run the Backend in you local sytem:
```bash
cd model
python api.py
```
5.Run the frontend application:
npm run dev