Columbia Data Science MS 2025 | President of Neurotech X Columbia | Neurotechnology Enthusiast
🚀 Hackathon Experience: Conquering Challenges with Innovation 🚀 Over the past few days, I had the opportunity to participate in an intense but rewarding BR41N.IO hackathon hosted by g.tec, where I explored the exciting world of brain-computer interfaces (BCI). As a solo participant, I took on the challenge of coding, signal processing, and data analysis for SSVEP detection entirely on my own. 📊 Key Highlights: 1. Developed preprocessing methods (bandpass, notch filtering) for EEG signals. 2. Applied advanced techniques such as PCA, Canonical Correlation Analysis (CCA), and Filterbank CCA (FBCCA) for feature extraction. 3. Ran multiple classification models (LDA, CCA, FBCCA) and compared their performance across different sessions. 4. Achieved promising results with CCA, outperforming other methods in most cases. This experience pushed me to the limit, both technically and mentally, but it was an incredible learning journey. It also reminded me how crucial it is to balance innovation with well-being. Despite feeling burnt out, the sense of accomplishment from bringing this project to life has been immensely rewarding. 🔗 Check out my GitHub repository for all the code and data: https://lnkd.in/eweNxPNz 🔗 Presentation slides: https://lnkd.in/equU4CiA Thank you to everyone who supported me through this process! #hackathon #braincomputerinterface #BCI #machinelearning #neurotech #innovation #eeg
