premkumarmishra/careermatch

CareerMatch describes itself as an early stage, community built platform meant to connect students, recruiters, and college placement teams using AI. The README lays out a vision more than a finished product, describing planned features rather than a fully working system, and openly invites developers, designers, and researchers to help build it. For students, the plan is to offer AI based career and job recommendations, personalized internship suggestions, an analysis of which skills a person is missing for a target role, and matching with recruiters based on a profile. For recruiters, the idea is a set of smart hiring tools that could automatically shortlist candidates and filter them by skills, past projects, and experience. For college placement offices, the plan includes analytics dashboards showing which skills recruiters are asking for, which students tend to get hired, and general hiring trends across companies, aimed at helping improve placement rates and align coursework with what employers actually want. The README lists a planned technology stack rather than confirming what is already built: React or Next.js for the interface, FastAPI or Flask for the backend, PostgreSQL for the database, and machine learning tools like Scikit-learn for the recommendation and skill matching features, deployed with Docker. Contribution instructions follow a standard fork, branch, and pull request workflow, and the project welcomes help across frontend, backend, data engineering, design, and documentation. Because this is a young, contributor-driven project still setting its direction, it is best suited for developers who want to help shape an early stage AI career platform rather than someone looking for a ready to use job matching tool today. It is released under the GNU Affero General Public License version 3, which requires that any modified version run as a network service must also share its source code.