Why Awards Matter #
Awards serve as a tangible recognition of the dedication and creativity students bring to their machine learning projects. Each semester, these select honors are chosen from among hundreds of submitted projects, making the competition fierce and underscoring the ingenuity and motivation of participating teams. By highlighting outstanding work, we encourage students to push boundaries, refine technical skills, and communicate findings more effectively.
This recognition also benefits students’ academic and professional growth—award recipients can feature their projects on resumes and link directly to showcased work for added visibility. Additionally, all projects remain live on the class website for future semesters, ensuring that both current and prospective students can discover, learn from, and be inspired by past successes. This tradition fosters continuity in the course and builds a growing body of shared knowledge. Being featured on the website is thus both an honor and a motivator, inspiring future cohorts to strive for the same high standard of excellence.
Project Awardees #
Below you will find awardees for each semester. The most recent semester is expanded by default, while previous semesters are collapsed for a cleaner browsing experience. Click on a specific semester to view its award recipients.
Project Awardees for Spring 2025
CEGS-LIME: Clustering-Enhanced, Graph-Search LIME for CNN Explainability #
- Project Website: https://github.gatech.edu/pages/vkulkarni46/CS-7641-ML-Project/
- Contributors: Vineet Kulkarni, Amogh Palasamudram, Ayush Panda, Khooshrin Pithawalla, Krishna Ravishankar
Advanced Quadrotor Control & Stabilization #
- Project Website: https://github.gatech.edu/pages/xyang626/ML-7641-Quadrotor-Group/docs/index.html
- Contributors: Dyllon Preston, Evan Dodani, Dennis Anthony, Ajay Tak, Xinyi Yang
Restaurant Review Prediction #
- Project Website: https://github.gatech.edu/pages/agoli6/restaurant-review-prediction/
- Contributors: Venkata Goli, Jack Hayley, Vasilisa Lyubimova, Prajval Manivannan, Roderic Parson
Learning UAV State Estimator #
- Project Website: https://github.gatech.edu/pages/adeb40/ML-Project-Group-60/
- Contributors: Aditya Deb, Benjamin Monnig, Hunter Kuperman, Tristan Thakur, Xiaomeng Ye