Open-source, AI-powered tools for MFE & quant finance graduate admissions.
We build intelligent agents and data-driven toolkits that help applicants navigate the competitive landscape of Masters in Financial Engineering programs — from profile evaluation to essay coaching to interview prep.
| Project | Description | Status |
|---|---|---|
| QuantPath | Core evaluation engine — 5-dimension profile scoring, prerequisite matching, school ranking (reach/target/safety), GRE/TOEFL requirements, application timelines | Active |
| MFE-Data | Comprehensive program database — admissions stats, prerequisites, deadlines, rankings | Planned |
| Essay-Coach | AI agent for personal statement and essay guidance | Planned |
| Interview-Prep | Mock interview system with quant, behavioral, and brainteaser question banks | Planned |
| Course-Planner | Gap analysis → optimal course selection engine | Planned |
| Admit-Predict | ML-based admission probability model trained on historical data | Planned |
Applying to top MFE programs is opaque and stressful. Acceptance rates are 5-15%, prerequisites vary wildly across programs, and there's no single source of truth. We're building the toolkit we wish we had — transparent, data-driven, and open source.
pip install quantpath
quantpath evaluate --profile your_profile.yamlWe welcome contributions! Check individual project repos for issues and roadmaps.
Questions or ideas? Open an issue or reach out at yy85@illinois.edu.
