End-to-end Machine Learning project that predicts AI/technology candidate selection using academic, technical, experience, project, interview, resume, and domain-related attributes.
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Updated
Aug 8, 2026 - Jupyter Notebook
End-to-end Machine Learning project that predicts AI/technology candidate selection using academic, technical, experience, project, interview, resume, and domain-related attributes.
A blazing-fast full-stack app that parses 100+ candidates from JSON, scores them using a multi-factor algorithm, and auto-selects an optimal 5-member startup team based on skill, experience, leadership, geography, and budget. ✅ Built with: Next.js 14, TypeScript, TailwindCSS, React, Client-side Scoring Engine
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