https://github.com/e-sar456/gen-ai-capstone-project
This project demonstrates a Generative AI-powered assistant that streamlines the job application process using Google Gemini Pro. It analyzes a user’s resume against a job description, calculates a match score, suggests tailored bullet points, and generates a personalized cover letter — all formatted in structured JSON for automation.
https://github.com/e-sar456/gen-ai-capstone-project
agentbasedmodeling agents ai carrer-automation embeddings gemini gemini-api generative-ai-projects google-api json large-language-models promptengineering rag video-understanding
Last synced: 6 months ago
JSON representation
This project demonstrates a Generative AI-powered assistant that streamlines the job application process using Google Gemini Pro. It analyzes a user’s resume against a job description, calculates a match score, suggests tailored bullet points, and generates a personalized cover letter — all formatted in structured JSON for automation.
- Host: GitHub
- URL: https://github.com/e-sar456/gen-ai-capstone-project
- Owner: E-sar456
- Created: 2025-04-15T00:58:40.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-04-22T02:55:45.000Z (6 months ago)
- Last Synced: 2025-04-22T03:24:21.425Z (6 months ago)
- Topics: agentbasedmodeling, agents, ai, carrer-automation, embeddings, gemini, gemini-api, generative-ai-projects, google-api, json, large-language-models, promptengineering, rag, video-understanding
- Language: Jupyter Notebook
- Size: 12.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Security: SECURITY.md
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README
# 🌟 GEN-AI-CAPSTONE-PROJECT
## Overview
Welcome to the **GEN-AI-CAPSTONE-PROJECT**! This project showcases a Generative AI-powered assistant designed to simplify the job application process. By leveraging Google Gemini Pro, our assistant analyzes a user’s resume against job descriptions, calculates a match score, and provides tailored suggestions. Additionally, it generates a personalized cover letter, all formatted in structured JSON for seamless automation.
### Features
- **Resume Analysis**: Compares your resume with job descriptions to assess fit.
- **Match Scoring**: Calculates a score to indicate how well your resume matches the job.
- **Tailored Suggestions**: Offers customized bullet points to enhance your resume.
- **Cover Letter Generation**: Creates a personalized cover letter based on the job and your resume.
- **JSON Formatting**: Outputs data in structured JSON for easy integration with other tools.
### Table of Contents
1. [Installation](#installation)
2. [Usage](#usage)
3. [Contributing](#contributing)
4. [License](#license)
5. [Release Notes](#release-notes)
6. [Contact](#contact)
## Installation
To get started with the **GEN-AI-CAPSTONE-PROJECT**, follow these steps:
1. Clone the repository:
```bash
git clone https://github.com/E-sar456/GEN-AI-CAPSTONE-PROJECT.git
cd GEN-AI-CAPSTONE-PROJECT
```
2. Install the required packages:
```bash
pip install -r requirements.txt
```
3. Set up your Google Gemini API credentials. Follow the instructions in the `API_SETUP.md` file located in the repository.
4. Run the Jupyter Notebook:
```bash
jupyter notebook
```
## Usage
Once you have everything set up, you can start using the assistant:
1. Open the Jupyter Notebook.
2. Load your resume and the job description into the notebook.
3. Run the cells to analyze your resume and generate the output.
You can find the detailed usage instructions in the `USAGE.md` file.
## Contributing
We welcome contributions! If you want to help improve the project, please follow these steps:
1. Fork the repository.
2. Create a new branch:
```bash
git checkout -b feature/YourFeature
```
3. Make your changes and commit them:
```bash
git commit -m "Add your message here"
```
4. Push to your branch:
```bash
git push origin feature/YourFeature
```
5. Create a pull request.
Please ensure that your code adheres to the project's coding standards.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
## Release Notes
For the latest updates and changes, please check the [Releases section](https://github.com/E-sar456/GEN-AI-CAPSTONE-PROJECT/releases). You can download the latest version and execute it to experience the new features.
## Contact
If you have any questions or feedback, feel free to reach out:
- **Email**: your-email@example.com
- **GitHub**: [E-sar456](https://github.com/E-sar456)
## Topics
This project covers a variety of topics related to AI and job automation. Here are some key areas:
- **Agent-Based Modeling**: Understanding how agents interact in a system.
- **AI and Large Language Models**: Leveraging advanced AI techniques for natural language processing.
- **Prompt Engineering**: Crafting effective prompts for AI models.
- **Retrieval-Augmented Generation**: Enhancing model outputs with relevant information retrieval.
## Acknowledgments
We would like to thank the following resources and communities for their support:
- [Google Gemini](https://cloud.google.com/gemini)
- [Jupyter](https://jupyter.org/)
- [OpenAI](https://openai.com/)
## Visuals
### Example Output
Here is an example of what the output JSON might look like:
```json
{
"match_score": 85,
"suggestions": [
"Increased sales by 30% in Q1 2023.",
"Led a team of 5 to develop a new marketing strategy."
],
"cover_letter": {
"greeting": "Dear Hiring Manager,",
"body": "I am excited to apply for the position of Marketing Specialist..."
}
}
```
## Additional Resources
- [Understanding Generative AI](https://example.com/generative-ai)
- [Best Practices for Resume Writing](https://example.com/resume-writing)
- [How to Ace Job Interviews](https://example.com/job-interviews)
For more detailed information, please refer to the `DOCUMENTATION.md` file in the repository.
Thank you for checking out the **GEN-AI-CAPSTONE-PROJECT**! We hope it helps you streamline your job application process effectively. Don't forget to visit the [Releases section](https://github.com/E-sar456/GEN-AI-CAPSTONE-PROJECT/releases) for the latest updates and downloads.