Build an AI Resume Analyzer and Job Suggestions Portal

Job seekers often struggle with resume optimization and matching the right roles based on their skills. Recruiters spend excessive time screening irrelevant applications. An AI-powered platform can automate resume evaluation and suggest highly relevant job opportunities instantly.

Users upload their resumes (PDF, DOCX). The platform parses resume content (skills, education, experience), scores the resume quality, identifies missing skills, and recommends best-fit jobs from a job database using NLP-based matching algorithms.

Users upload resumes, which are parsed using NLP. The platform analyzes job titles, skills, experiences, and academic background. Based on AI algorithms, it assigns resume scores and fetches best-fit jobs from an active database. Skill improvement suggestions are provided to boost profile quality.

• Resume files are parsed and structured using libraries like spaCy or NLP APIs.
• Resume scoring engine evaluates formatting, skills match, grammar quality, and keyword optimization.
• Job matching algorithms recommend jobs based on the candidate's skills, past experiences, and preferences.
• Users can save resumes, update skills, bookmark job opportunities, and track application statuses.
• Optional feature: AI-powered resume rewriting tool that generates better worded versions for users.

• Building a Resume Parser with NLP
• spaCy NLP Library Documentation
• OpenAI GPT Resume Improvement API
• Building Job Recommendation Engines
• MongoDB Best Practices for Resume Storage
• Best Resume Optimization Practices for ATS