Online resumes should be optimized for submitting to sites that use applicant tracking software. A general resume will not be as successful as those that have been refined to take advantage of ATS. Your resume also needs to be easy for real people to read, so you should find ways to organically incorporate ATS keywords into your application.
AI-powered resume analyzer that scores resumes, provides ATS feedback, and offers job-matching suggestions. Built with React, TypeScript, Zustand, and Puter.js for AI, auth, and storage.
A simple and fast Applicant Tracking System (ATS) resume scorer using Python and Google Gemini AI.
AI-powered resume scanner for the space industry, built with NVIDIA Nemotron vision model
An NLP-powered Resume Scanner built with Python and Streamlit. Upload job descriptions and resumes, and instantly rank candidates based on semantic similarity using SpaCy and NLTK.
web application matching resumes to side hustle listed on Fiverr and Upwork
A live resume scanning and ranking tool built with Python, Streamlit, and NLP. Upload resumes, match them to job descriptions, and generate analytics dashboards and PDF reports.
📄 Smart resume-to-JD matcher with keyword analysis, match heatmaps, and tailored project suggestions.
AI-powered résumé analysis tool that evaluates job descriptions against candidate skills. Uses NLP and Transformers to score relevance and provide structured feedback for job seekers and recruiters.
A high-performance REST API for Resume Analysis built with FastAPI. Features 'Strict Mode' (TF-IDF) for ATS keyword matching and 'Flexible Mode' (SBERT/BERT) for semantic relevance scoring. Dockerized, stateless, and ready for scalable integration.
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