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🔥 With B3SPOKE, we've taken the guesswork (and the grunt work) out of personalized resume crafting. Imagine the power of OpenAI's GPT-3.5 model, combined with the whimsical creativity of Mad Libs, to generate bespoke resumes tailored specifically to the job you're eyeing. It's not just about filling in blanks; it's about crafting your career narrative with precision and flair.

• Upload Your Skills: Throw in your skillset data in CSV format, like the ingredients of a gourmet dish.
• Existing Resume? No Problem: Feed in your current resumes in any format - PDF, DOC, DOCX, TXT. IDGAF.
• Mad Libs Meet AI: Our platform uses NLP, NLU, RAG, AI, LIGO and probably the Large Hadron Collider to match your skills and experience with job descriptions, filling in the 'blanks' to create a resume that speaks directly to your future employer.
• Preview and Polish: Get a sneak peek of your bespoke resume, make adjustments, and download your masterpiece.
• Skillset Filter: Zero in on the skills that matter most for your dream job.
• Real-Time Magic: Stay updated with real-time notifications.
• And the cherry on top? Match Analysis - see how your mad libs-inspired, AI-crafted resume compares to your old one, ensuring every application is a step closer to your dream job.
• Job Recommendations: Generate Job recommendations from your old, resume and skills. Ask it to give you keywords to search for.
• Customized Search Query Wizard: Dynamically build those recommendations into google dork. Then just button press your way to a new job.

To run the application locally, follow these steps:

1. Clone this repository to your local machine.
2. Navigate to the project directory.
3. Create a virtual environment using virtualenv:

git clone https://github.com/MadJobs/B3SPOKE.git
cd B3SPOKE

virtualenv venv
Activate the virtual environment:

venv\Scripts\activate

source venv/bin/activate

pip3 install -r requirements.txt

mv .streamlit/sample_secrets.toml .streamlit/secrets.toml

streamlit run b3spoke.py