- Conducted multiple workshops on LEGO robotics
- Made presentations to kids on the topic ‘Learning from toys’, the first one was at the age of 6
- Participating in Lego robotics competitions since 2018. won the ‘Most inspirational team award’ for First Lego League in 2019 and was ranked one of the top national teams for World Robot olympiad in 2019
- Won the Regional level and National Level championship at the MakeX robotics competition
- Won the top prize for the MakeinGoa competition in 2020 for building a unique robot.
- Won multiple awards at school level chess and at academic olympiads.
- Secured finalists top 5 position at the MIT app Hackathon contest.
- Secured 7th rank at the Annual Bebras Competition in year 2022
- As part of eYantraa challenge conducted by IIT Mumbai, i won a prize for my photgrammetry design.
- As part of Team Legogoa i have been part of National level winning team at Makex Robotics
- Second postion to my team at the International Makex Robotics Championships in Thailand in year 2022
- My Team Legogoa Axiom was semi finalist at the National Level First Tech Challenge held in Pune in March 2023
- I was captain for the Team India at the FIRST Global Challenge held in Oct 2023 at Singapore and my team won 4 medals
- I was part of the R-Factor team that participated in the FIRST Robotics challenge at Turkey and my team won the Industrial Design award
- My app AllergyAlly won the Honorable Mention award at the MIT raise Hackathon
As part of MIT app inventor Hackathon, i and my teammate Viraj Marathe have developed a mobile app AllergyAlly. This AI-powered allergy companion app aims to revolutionise allergy management. Medical history remains a cornerstone in allergy diagnosis, guiding healthcare providers in making informed decisions and providing appropriate care to patients. And this app documents each and every allergic incident and provides detailed report for the healthcare providers with the help of AI. Existing solutions are not satisfactory and our mobile app Allergy ally acts as a companion to persons troubled by allergies. For the rigorous testing of the mobile app we needed a dataset that we could use in the app so that the features of the app could be tested for accuracy. We created a dataset Used python to generate patient allergy incident logs for every 2 days of a year The dataset has the symptoms, triggers, weather summary, mood levels and severity with a pattern to it and is not completely rand...
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