Full project presentation
STUDENT WORK
The work that made an impact.
International presentations, competition results, and products released to real users—created by Lucid students with close technical mentorship.
PRESENTED · AWARDED · SHIPPED
Student work with public results.
Watch the presentation, open the App Store listing, or view the official award record. Each project links directly to its source.
MEDICAL AI · INTERNATIONAL PRESENTATION
Automated brain-tumor segmentation
Nidhi compared U-Net architectures for segmenting brain tumors in MRI scans and carried the work from model experiments through a full research paper.
AI PRODUCT · LIVE ON THE APP STORE
SafeBite: know what you eat
Prathyush built and released an iPhone app that scans food products and turns nutrition, ingredient, and environmental data into useful guidance.
ENVIRONMENTAL SCIENCE · FIVE AWARDS
Assessing the Achievability of Etched Aluminum as a CO2 Capture Method
At William Diamond Middle School in Lexington, Tanvi investigated whether etched aluminum could serve as a practical CO2-capture method, then advanced the project through regional and state competition.
MEDICAL AI · FULL PROJECT PRESENTATION
Watch the brain-tumor segmentation project from model to result.
Nidhi explains the problem, data, CNN approach, and evaluation in an 11-minute technical presentation. She later presented the research internationally and won Best Presentation at IYRC.
Best presentationInternational Young Researchers’ Conference11:58Full technical presentation
MORE STUDENT INTERVIEWS + PRESENTATIONS
Watch students explain the technical work themselves.
Full project presentations and interviews from previous Lucid programs.
Student interview
Ayaan & Ryan · AI Academy interviews
Student interview
Rishika · Student interview
Project presentation
Pneumonia detection model
Project presentation
Facial expression recognition
STUDENT + PARENT VOICES
Hear what it was like to work with us.
Recorded interviews are linked to their original videos. Written notes are preserved as received.
“We always got to apply the skills on our own. It taught us how to figure things out for ourselves and make the models work.”
“The program was a short lesson followed by lots of hands-on coding and group work. It was a great way to learn.”
“Thank you for teaching Sara programming and research. It was a wonderful learning opportunity, and your hard work made the program a meaningful experience for her.”
“This class was different because most of what we learned came from practicing and writing code ourselves.”
“I earned first place in Environmental Science at the regional fair, was nominated for the Thermo Fisher Junior Innovators Challenge, and advanced to the state fair. My mentor’s feedback helped me prepare, practice, and succeed.”
“The most important skill I gained was learning to work with teammates to communicate and create a project together.”
“I’d recommend this program to anyone interested in AI, machine learning, or data analytics. It helps you see where the future is heading and how to be part of it.”
“I earned third place at the Massachusetts Science & Engineering Fair. Thank you again for all your help and support.”
A note on outcomes
Competition awards, internships, publications, and admissions results depend on the student, the project, and external decision-makers. Lucid provides instruction, structure, mentorship, and preparation; it does not guarantee third-party outcomes.
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