AI Driven Ecosystem for Campus Placement Automation, Skill Assessment and Student Career Readiness platform

Campus placement preparation is often spread across resume building, interview practice, training material, placement notices and communication with placement officers. Students therefore find it hard to identify their next step, and officers find it hard to monitor participation and readiness. To address this, we present the AI Driven Ecosystem for Campus Placement Automation, Skill Assessment and Student Career Readiness platform, a role-based web application built at Kalpataru Institute of Technology, Tiptur and presented as Kalpataru Placement AI, that brings placement preparation, skill assessment and career readiness into one ecosystem. The student workspace provides five AI assistants (Placement Assistant, Resume Studio, Mock Interview, Application Coach and Learning Coach) along with job openings, placement notices and application management. The administrator console supports account approval, filtered student management with CSV export, participation insights, interview reports and a Train AI page that publishes approved institutional knowledge for retrieval, without modifying the underlying AI model. The system emphasises grounded responses, human escalation, role-based access control and a limited activity log that excludes prompts and resume content. The application was checked manually on a demonstration database. AI output is meant as guidance and decision support, not as a promise of placement success; improvement in placement outcomes is not claimed, and evaluation with real users is left as future work.