espin086 / gpt-resume-reviewer

GPT-Resume-Reviewer is a repository that contains a machine learning model trained on GPT (Generative Pre-trained Transformer) to review and analyze resumes. It provides an automated way to evaluate resumes based on various criteria such as skills, experience, and qualifications.

Hi 👋, I'm JJ

Data Scientist and Machine Learning Engineer

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My Portfolio of Projects

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💼 GPT-JobHunter: Text Analysis, APIs, SQL, User Input, Machine Learning, Generative AI

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Analyzes job postings and provides personalized recommendations to job seekers for improving their resumes.

Key Components:

• Generative AI API calls for embeddings
• Text similarityh algorithm
• Jobs API Call for job postings
• Class to perform data transformations
• SQLite functions for database operations
• Unit tests to ensure code quality
• Make file to install, test, and run application
• Code for Streamlit user interface

💰 NewsWaveMetrics: APIs, SQL, Python, Text Analysis, Time Series Analysis, etc.

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NewsWageMetrics is a powerful tool for analyzing news sentiment, allowing users to correlate these stories with stock market price data.

Key Components:

• Anomaly Detection Algorithm using Time Series Algorithms
• Data Transformation using Classes
• Extract Economic Data via API
• Local File Handler Class

🧠 AutoLearn: Automation, Machine Learning, Data Visualization, Model Training/Tuning/Inference

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AutoLearn is a powerful tool for data scientists that automates the process of exploratory data analysis (EDA) and machine learning model training.

Key Components:

• Streamlit Application

💥 EmoTrack: AWS, Computer Vision, Real-Time Processing, SQL

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A real-time emotion detection and tracking application using webcam input. Analyze and visualize your emotional trends over time with interactive charts.

Key Components:

• Call to AWS Facial Analysis API
• Webcam Access from Streamlit UI

Languages and Tools:

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My Github Activity:

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gpt-resume-reviewer's Issues

Implement Continuous Integration using GitHub Actions and Makefile commands

I would like to propose the implementation of Continuous Integration (CI) using GitHub Actions and leveraging the existing commands in our Makefile. This will greatly enhance our development workflow and ensure that our codebase remains stable and error-free.

GitHub Actions provides a powerful and flexible platform for automating our CI process. By integrating it with our Makefile commands, we can easily define and execute various tasks such as building, testing, and deploying our application.

Benefits of implementing CI with GitHub Actions and Makefile commands:

1. Streamlined Workflow: With CI, we can automate the process of building, testing, and deploying our application whenever changes are pushed to the repository. This ensures that our codebase is always in a deployable state.

2. Code Quality: By running automated tests on every commit, we can catch bugs and issues early in the development cycle. This helps in maintaining a high level of code quality and reduces the chances of introducing regressions.

3. Faster Feedback: CI allows us to receive immediate feedback on the impact of our changes. We can quickly identify and fix any issues before they propagate to other parts of the codebase.

4. Collaboration: GitHub Actions provides a centralized platform for collaboration among team members. We can easily track the status of builds, review code changes, and collaborate on resolving any issues that arise during the CI process.

To implement CI using GitHub Actions and Makefile commands, we can follow these steps:

1. Define Workflow: Create a workflow file (e.g., .github/workflows/ci.yml) in our repository. This file will define the steps to be executed during the CI process.

2. Configure Triggers: Specify the triggers for the workflow, such as on push or pull request events. This ensures that the workflow is automatically triggered whenever changes are made to the repository.

3. Define Steps: Utilize the existing commands in our Makefile to define the necessary steps in the workflow. For example, we can have steps for building the application, running tests, and deploying to a staging environment.

4. Set Up Environment: Configure the environment required for the workflow, such as the version of the programming language, dependencies, and any other tools needed for the build and test process.

5. Notifications and Reporting: Configure notifications and reporting mechanisms to receive alerts and updates on the status of the CI process. This can include email notifications, Slack messages, or integration with other tools.

By implementing CI using GitHub Actions and Makefile commands, we can significantly improve our development process, increase code quality, and ensure a smoother deployment pipeline. It will also enable us to collaborate more effectively as a team and catch issues early on.

I believe this implementation will greatly benefit our project and I look forward to discussing it further with the team.

Enhancement - Resume Analysis and Recommendation Script

As a user, I would like to have a script that can analyze and provide recommendations for improving the formatting of a resume. Additionally, the script should suggest better synonyms to optimize the resume for automated resume screening software. Furthermore, it should provide a list of possible job titles for lateral moves and more senior roles based on the resume content. Lastly, the script should suggest areas where the individual can receive training to enhance their skills and stand out from the crowd.

Requirements:

1. The script should accept a resume as input in text format.
2. The script should analyze the formatting of the resume and provide recommendations for improvement.
3. The script should suggest better synonyms for keywords in the resume to optimize it for automated resume screening software.
4. The script should generate a list of possible job titles for lateral moves based on the content of the resume.
5. The script should generate a list of possible job titles for more senior roles based on the content of the resume.
6. The script should suggest areas where the individual can receive training to enhance their skills and stand out from the crowd.

Additional Information:

• The script should be implemented as a class to encapsulate the functionality.
• The script should be compatible with the Python programming language.
• The script should provide clear and concise recommendations and suggestions.
• The script should be efficient and able to handle resumes of varying lengths.
• The script should not alter the original resume text, but rather provide suggestions for improvement.

Please let me know if you need any further information or clarification.

Dockerize Application and Optimize Makefile Commands

I would like to propose an enhancement to our application's development workflow by dockerizing the application and leveraging the existing commands in the Makefile as much as possible.

Dockerizing our application will provide numerous benefits, such as improved portability, easier deployment, and consistent development environments across different machines. By encapsulating our application and its dependencies within a Docker container, we can ensure that it runs consistently regardless of the host system.

To achieve this, I suggest the following steps:

1. Create a Dockerfile: We need to create a Dockerfile in the root directory of our application. This file will define the steps required to build a Docker image for our application. It should include the necessary dependencies, configurations, and any other requirements.

2. Leverage Makefile Commands: Our Makefile already contains various commands that streamline our development process. We can enhance these commands to work seamlessly with Docker. For example, we can modify the make build command to build the Docker image, and make run to run the application within a Docker container.

3. Update Documentation: It's crucial to update our documentation to reflect the changes made. We should provide clear instructions on how to build and run the application using Docker, including any additional Docker-specific commands or configurations.

4. Test and Iterate: Once the Dockerization process is complete, it's essential to thoroughly test the application within the Docker container. This will help identify any issues or inconsistencies that may arise due to the containerization process. We can then iterate and refine the Dockerfile and Makefile commands as needed.

By following these steps, we can significantly improve our development workflow and make it easier for new team members to get started with the project. Dockerizing our application will also enable us to leverage the benefits of containerization, such as easier deployment and scalability.

Request for Streamlit Front-End Mockup for Resume Text Processing

I would like to request assistance in creating a Streamlit front-end mockup that allows users to upload their resumes in both PDF and Word document formats. The front-end should then call an arbitrary function that performs text processing on the resume and returns the processed resume.

Requirements:

1. The front-end should be developed using Streamlit, a Python library for building interactive web applications.
2. Users should be able to upload their resumes in both PDF and Word document formats.
3. The front-end should call an arbitrary function that performs text processing on the uploaded resume.
4. The processed resume should be displayed to the user.
5. The front-end should be modular and well-structured, making it easy to extend and add additional functionality in the future.

Please note that this is just a mockup, so the actual text processing function can be a simple placeholder for now. The main focus is on creating a modular and user-friendly front-end that can be easily expanded upon.

Thank you in advance for your assistance. If you have any questions or need further clarification, please let me know.

Request for CRUD implementation for SQLite database

I would like to request the development of a CRUD (Create, Read, Update, Delete) implementation to work with a SQLite database. This implementation should include the following functionalities:

1. Create the database if it doesn't exist: The implementation should check if the specified SQLite database exists. If it doesn't, it should create a new database with the given name.

2. Create a table if it doesn't exist: Once the database is created or if it already exists, the implementation should check if the specified table exists. If it doesn't, it should create a new table with the given name and specified columns.

3. Perform CRUD operations on any of the given tables in the database: The implementation should provide functions or methods to perform the following operations on the specified tables:

   • Create: Insert new records into the table.
   • Read: Retrieve records from the table based on specified conditions.
   • Update: Modify existing records in the table based on specified conditions.
   • Delete: Remove records from the table based on specified conditions.

Please ensure that the implementation follows best practices for working with SQLite databases and handles any potential errors or exceptions gracefully.