AI Resume Analyser built with Streamlit, Python, and NLP. Users upload resumes to get smart recommendations, insights, and experience categorization (Beginner/Intermediate/Advanced). Admins can track visitors, view uploaded resumes, and analyze data via pie charts.

Developed an AI-powered Applicant Tracking System (ATS) to analyse and match resumes with job descriptions using Natural Language Processing (NLP) and Semantic Similarity. Utilized TF-IDF Vectorization and Sentence-BERT embeddings to compute resume–JD similarity, achieving a semantic match accuracy of 89%.

AI-powered Resume Analyzer that parses resumes, evaluates ATS compatibility, detects career roles, identifies skill gaps, and recommends relevant jobs using NLP, semantic matching, and ML. Built with React, FastAPI, spaCy, and PostgreSQL.

AI-powered resume analyser and job matching platform using Django, DRF, PostgreSQL, and NLP.

AI-powered Resume Screening System that extracts, analyses, and ranks resumes based on job relevance using NLP techniques.

An ai resume analyser that uses pythons (NLP) libraries and provide score to uploaded resume on the basis of text matching and suggest recommended upgrade

AI-powered resume ranking system using spaCy NLP to match candidates with job requirements and generate detailed skill gap analyses

The AI Resume Analyser is a web based application that allows users to upload resumes and analyse them using NLP. It extracts keywords and compares them with a job role to [provide AI powered feedback including strength, weakness, improvement suggestions, and a resume match score using Gemini API.

Resume Checker – Built an AI-powered tool using Streamlit, NLP (TF-IDF, cosine similarity) to analyse resumes (PDF) against job descriptions and provide instant textual feedback on skill match.

My AI Resume Analyser uses NLP to bridge the gap between your resume and your job. It instantly scans for keywords, and tells you exactly how tro fix your resume to land the interview. Don't just apply, get seen.

AI Resume Analyser is a Streamlit-based web app that compares resumes with job descriptions using NLP. It extracts text from PDF/DOCX files, preprocesses it, and calculates cosine similarity to generate a match score. Helps users optimize resumes for better ATS compatibility and job relevance.

The AI Fake Resume Analyser detects false or exaggerated details in resumes using NLP, machine learning, and data verification. It flags timeline gaps, mismatched roles, and fake credentials by cross-checking trusted sources, helping recruiters save time, ensure fair hiring, and select only genuine, qualified candidates.

This project proposes an AI-based Resume Skill Extraction and Job Matching System that uses Natural Language Processing (NLP) to automate and improve the recruitment process. The system intelligently analyses resumes and job descriptions to extract relevant skills, qualifications, experience, and keywords.

An AI-powered Hiring Assistant that analyses resumes, compares them with a job description, predicts shortlist status, recommends the best job profile, and suggests missing keywords using 5 ML/NLP models. Includes FastAPI backend, Streamlit UI, and a complete end-to-end ML pipeline.