This project is an AI-powered resume analyzer that uses natural language processing and machine learning techniques to evaluate resumes and provide feedback to job applicants.
- Evaluates the content of resumes for relevance to specific job positions
- Provides personalized feedback and suggestions for improvements
- Uses Streamlit for web application development
- Uses NLP techniques to assess various sections of the resume, like skills, hobbies, and work experience and provide a Resume Score
- Recommends related skills to add to the resume based on the job position
- Recommends YouTube videos and online courses to learn and upgrade skills
- PDF parsing can be complex and may require multiple libraries.
- Connecting SQL and Python requires careful consideration of database schema and query design.
- Extracting data from PDFs can be challenging and may require additional preprocessing steps
- Recommending skills, videos, and lectures requires a deep understanding of the user's needs and interests.
Clone the project
git clone https://link-to-project
Go to the project directory
cd my-project
Install dependencies
pip install -r requirements.txt
Start the server
streamlit run App.py
I'm a Full Stack Data Scientist
- C, C++, Python
- SQL
- Machine Learning
- Deep Learning
- Data Science
👩💻 I'm currently a student
🧠 Btech Computer Science
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