fiery-skills

byanushree A

I want to build a beginner-friendly Machine Learning mini project called “AI-Based Resume Skill Gap Analyzer” for my engineering ML subject. The project should compare a candidate’s resume with a job description and analyze how well the candidate matches the job requirements. The system should identify matching skills, missing skills, calculate a compatibility percentage, and provide recommendations for improving the resume and skills. Use Python, Flask, Scikit-learn, NLTK, Pandas, NumPy, HTML, CSS, and Bootstrap for development. Implement NLP techniques such as text preprocessing, tokenization, stopword removal, TF-IDF vectorization, and cosine similarity. The application should allow users to upload resumes in PDF or DOCX format and enter a job description manually. The system should extract skills from both the resume and the job description using a predefined skills dataset, compare them, and display the results in a clean dashboard format with progress bars or charts. The output should include the match percentage, matching skills, missing skills, and personalized improvement suggestions. Create sample datasets for resumes, job descriptions, and skills in CSV format. The frontend should have a professional and responsive design with Bootstrap cards and a modern UI. The backend should handle resume parsing, skill extraction, similarity calculation, and result generation properly. Also generate the complete source code, folder structure, requirements.txt, README.md, installation steps, comments in the code, and proper error handling. Additionally, include academic project materials such as a flowchart, block diagram, system architecture, and a short project report explanation suitable for final-year Machine Learning subject evaluation.