The work that made an impact.
Published research, international presentations, competition wins, and products released to real users—created by Lucid students with close technical mentorship.

Student work with public results.
Read the paper, open the App Store listing, or view the official award record. Each project links directly to its source.

A new avenue for treating retinal disease
Shivum’s translational medicine project identified a retinal signaling pathway and biomarker group for therapeutic intervention.

Machine learning for photocatalyst discovery
Satya built a machine-learning pipeline that generated and screened 120,000 metal–organic framework candidates for environmental applications.

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.

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.

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.
Watch the brain-tumor segmentation project from model to result.
The student explains the problem, data, CNN approach, and evaluation in an 11-minute technical presentation. The related research later earned Nidhi an international Best Presentation Award.
Shipped to the App Store. Tested at the science fair.
More examples from Lucid’s programs, including a live product and an award-winning environmental investigation.

SafeBite
An AI-powered healthy-eating application inspired by a personal family experience and released on the App Store.

Assessing the Achievability of Etched Aluminum as a CO2 Capture Method
Tanvi Marri of William Diamond Middle School in Lexington investigated etched aluminum as a CO2-capture method and earned five science-fair awards.
Watch students explain the technical work themselves.
Full project presentations and interviews from previous Lucid programs.
Ayaan & Ryan · AI Academy interviews
Rishika · Student interview
Pneumonia detection model
Facial expression recognition
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.”
“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.”
“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.”
“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.”
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.
Your project could be next.
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