Top Projects at Harvard & MIT
Master in Design Engineering
2024
Soft Robotics - Age Assistive Tech
soft robotics for ML-Powered Adaptive Movement Assistance
for post-knee surgery rehab. Cheaper & lighter than incumbents
(Patent Pending)
The project received a lot of recognition from the jury panel, which included experts from Nike and other industry leaders, for its innovative approach. It involved developing an ML-powered soft robotic device designed for post-knee surgery rehabilitation. The device focused on preventing muscle degeneration by providing adaptive movement assistance tailored to individual patient needs. The project showcased cutting-edge technology in healthcare, blending machine learning with soft robotics to revolutionize recovery processes.
SketchCSG stood out as an innovative blend of AI and computational design, making complex CSG modeling more accessible and intuitive. The project’s unique approach impressed both the class and the jury panel, including Autodesk professionals, and it has the potential to set a new benchmark in design tools. It's no surprise that the accompanying paper is now under review for publication at ACADIA.
Predictive Models for Climate Tech Investment Trends
Analyzing global climate tech investment trends using natural language processing and random forest models to predict investment patterns and sector growth
Predictive Models for Climate Tech Investment Trends was hands-down the best project in the data science class, blending cutting-edge NLP and random forest models to uncover actionable insights into global investment trends. The project not only demonstrated technical brilliance but also addressed a pressing real-world issue, making it a standout success admired by peers and faculty alike.