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Nikitha Adivi

Hi, I am a third year iMTech Student at IIIT Bangalore, currently exploring the areas of design thinking, software development and Machine Learning.
What fascinates me about technology is it's immense ability to solve a lot of our day-today problems!

Some of my projects:

Predicting Vaccine Efficacy using AI

Dash, Machine Learning, Docker

Developed a scalable application with interactive visualisations that can keep track of the number of New cases, Immune cases and predict the
herd immunity district‑wise as the vaccination process kick‑of. I worked on the ML model that predicted new cases after gathering data from
covid19 API, open source health analytics data and population data
https://github.com/DaKeiser/chaos

Engage Video Chat Application

Tech Stack: ReactJS, WebRTC, NodeJS

Developed a basic 1:1 video conferencing applications with chat feature, audio toggle feature and screenshare feature.

3D Solar System Simulator

Tech Stack: Python, VPython

Implemented a Visual Python simulation of our solar system which can be used to visualise the relative sizes and speeds of the planets in our
solar system.
https://github.com/NikiAdivi/Zense_solarsystemsimulator

##Restaurant Visitor Forecasting

Machine Learning ‑ Regression

Built an LGBM model to predict the number of visitors for certain restaurants in Japan based on the store data, reservation data available for the
those restaurants. This could help them better manage the resources.
https://github.com/NikiAdivi/Restaurant-Visitor-Forecasting

I am a strong believer of community building and diversity. As a Google Women Techmakers Scholar, I deeply care about the representation of women in STEM and I always enthusiastically look forward to making impact, however small that is.

Learn from a few, learn with a few others, learn to teach a few more. This is my guiding philosophy:)

Projects

EveNFT: Portmanteau of Events and NFTs

Turn your community events into NFTs! EveNFT is a collaborative canvas on the blockchain where participants redeem tokens to edit. The final canvas is minted as an NFT and auctioned for charity!Solidity, React, Ganache, Truffle, Polygon, Chakra UI

Skills

Python
JavaScript
React
Machine Learning
Nodejs

Experience

  • Ernst and Young - Technology Consulting Intern
    May 2021 - Present

    Working on a text recognition problem statement that uses Tesseract along with OpenCV methods to read the nutrient information on food packets.

  • Prof. Dinesh Babu, IIITB and Prof Sunil Guptan, IIMA - UI/UX Design Intern
    May 2020 - July 2020

    • Designed the user interface of a real‑time emotional wellness chatbot application which understands human emotions.
    • Contributed graphical illustrations that helped in the better visualisation of the content. Design tools used: Figma and inkscape