Toothprints PC
My Projects
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- Worked on the backend of a scientifically developed app -- used python (django) for the algorithm.
- Used a face recognition API to code the algorithm which suggests the scientifically right pacifier for a baby based on facial measurements.
- Assisted in validating the app by handling API's -- was able to increase accuracy of the algorithm by ~90%.
- Generated mathematical models to verify results.
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- Built a website for the app from scratch using React and styled components.
- The website has been posted on the official company domain.
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- Built a website from scratch using HTML, CSS, Node.js and Express JS (for form submission).
- The website has been posted on the official company domain.
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- Spearheaded Phase I (Development) and Phase II (Testing) development of a scientific app built using Python, Flask, Flutter, and MongoDB Atlas.
- Used a face alignment API to analyze facial biometrics so as to evaluate cranio-facial growth.
- Designed a Random Forest ML algorithm to predict the condition with upto 90% accuracy+precision.
- The algorithm got selected to be presented as an abstract thesis at the World Sleep 2022 conference in Rome.
Pacified® App
Pacified® Website
Toothprints Website
Gnathic-Click App
Testimonial
"In brief, having Adi on board was one of the best experiences that both Toothprints and myself personally, have had in working with advanced computer science interns."View Recommendation Letter
- David A Tesini DMD MS
President Toothprints, Inc.