Resume Miner🕵️

Welcome to Resume Miner 🕵️‍♂️ the perfect tool to extract valuable information from resumes in PDF format 📃. This powerful yet easy-to-use web app analyzes your uploaded resumes, identifying key details such as names, emails, highlights and skills 🔎. Simply upload your PDF files and watch as Resume Miner works its magic ✨. Our user-friendly interface allows you to view the extracted information with just a few clicks, making it a breeze to quickly identify the best candidates for your job openings 🎆. With Resume Miner, finding the right talent has never been easier! 💪

👨‍💼🤖 Don't believe us?

🤣 We could tell you about how Resume Miner helped a company find their next CEO, but that would just be bragging. Instead, here are some more modest examples:

👨‍💼 Hiring manager : "I used to spend hours reading through resumes, but now with Resume Miner, I can find the perfect candidate in just minutes! It's like having a personal assistant that never sleeps."

👩‍💻 Recruiter: "I love using Resume Miner to find top-notch candidates. It's like a metal detector for resumes - it helps me uncover hidden gems that I might have missed otherwise."

🕵️‍♂️ Detective: "Okay, so I'm not actually a detective, but sometimes it feels like it when I'm trying to find the right candidate for a job. With Resume Miner, it's like I have X-ray vision - I can see right through a resume and find the information I need."

See? Even fictional characters can benefit from Resume Miner! Give it a try and see for yourself. 😉

Here we Go

To use the MindsDB NLP model for parsing resumes in this Streamlit app, you need to first create a model on the MindsDB platform.

• Log in to MindsDB and create a new project
• In the project, create a new model with the name resume_miner(OR anything of your choice)
• Copy and paste the following code into the MindsDB query editor:

CREATE MODEL mindsdb.resume_miner
PREDICT json
USING
    engine = 'openai',
    json_struct = {
        'email': 'email ',
        'name': 'name',
        'skills_list': 'skills_list {comma seperated}',
        'summary': 'informative summary with emojis giving information about experience  in  35-50 words without escape sequence char '
    },
    input_text = 'resume';

• Run the query to create a new model in MindsDB with whatever name you have given in the query. 🚀

Clone Repo And use it

• Clone resume_miner repo using below command

git clone https://github.com/parthiv11/Resume_Miner.git

• In the utils.py file, add the MindsDB email, password, and model name to the variables provided.

# EXAMPLE 
MDB_EMAIL="MINDSDB_EMAIL"
MDB_PWD="MINDSDB_PASSWORD"
MODEL_NAME="resume_miner"

• Install the prerequisites mentioned in the requirements.txt file. 🛠️

pip install -r requirements.txt

• Run the Streamlit app to start using the Resume Miner tool. 💻

streamlit run app.py

Explore the MindsDB documentation to learn more about the platform's capabilities.

You can also check out the live demo of the Resume Miner tool here.