AI Resume Analyser With NLP on Streamlit

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.

Smart Resume Analyser is dedicated to transforming the job preparation journey for students and job seekers by delivering intelligent, accurate, and personalized resume evaluations. The platform leverages advanced AI and NLP technologies to analyze resumes with precision, offering detailed insights and actionable recommendations for improvement.

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%.

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AI Resume Analyser With NLP on Streamlit

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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.

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.

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.