AI-Powered Academic Recognition & Planning Assistant

Starting point and environment

International students face significant bureaucratic challenges when transferring academic credentials between institutions and countries. Manual evaluation is time-consuming, error-prone, and inconsistent, a problem I set out to address by assembling and leading a team of 6.

Core constraint to solve

Lead a team to create a system that intelligently parses academic documents, maps curricula across different educational frameworks, and generates personalized study plans, while handling the enormous variety of international academic formats and validating the approach with TUM's admissions stakeholders.

Design and implementation approach

As Project Lead, directed a team of 6 through architecture, implementation, and validation. Conducted stakeholder interviews with TUM's Lead of Admissions & Program Administration to scope requirements and validate the solution. Developed an AI-powered pipeline that combines document parsing with intelligent curriculum mapping: the system analyzes transcripts, course descriptions, and institutional requirements to generate recognition recommendations and optimized study plans.

Measurable impact and delivery result

Delivered, with the team, a functional tool validated by TUM's admissions stakeholders that dramatically reduces the time needed for academic credential evaluation. Demonstrates practical AI application in education administration, a domain where intelligent automation has massive untapped potential.