Projects

PErsonALIZED EDUCATION AI

Engineered an advanced personalized education system utilizing OpenAI's GPT-4 and MongoDB to deliver customized educational content and track student progress effectively.
Implemented RAG (Retrieval Augmented Generation) to dynamically generate context-sensitive educational materials and explanations, significantly enhancing the accuracy and relevance of responses provided to student inquiries.
Developed and fine-tuned LLMs with specialized educational datasets using AutoTrain, ensuring the model's improved performance in understanding and addressing complex educational topics.
Designed a robust feedback mechanism employing multiple proxy research agents and Langchain-based libraries, boosting educational productivity and engagement by over 25%.
Github Repoistory: https://github.com/ayushlodha7/Personalized_Education_AI

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Reproduced a paper titled ”A prominent pattern of year to year variability in Indian Summer Monsoon Rainfall” published in the Proceedings of the National Academy of Sciences (PNAS) using the Indian Winter Monsoon dataset
Applied EOF and Maximal Covariance Analysis (MCA) on the sourced dataset to mathematically justify the observed physical phenomena
Skills Gained: Maximum Covariance Analysis, Empirical orthogonal functions,Physics and Climate Based Models, Seasonality Variation.

Reproduced the Susceptible Exposed Infected Recovered (SEIR) model to assess the coronavirus pandemic situation and predicted the future state of the pandemic in Ahmedabad city
Responsible for analyzing several scenarios resulting in a change in the course of the pandemic based on parameters including testing rates and the imposed lockdown (Received Appreciation from Ministry of Healthcare, Government of India).
Acknowledged by 35+ national and international newspapers for the formulation of the dashboard.
Skills Gained: Network Science, Pandemic Forecasting, Epidemic Modelling, Tableau, Data Visualization
🥳 Media Highlights | 🐱 Github Link

Media Highlights 🥳

Github Link 🐱

ey_Techathon_THEOMEGAS

Designed an Algorithm for selective vaccine distribution across the country.
Created and Analysed the features of population density of the region, immunity index, HVI, SVI, Environmental Condition, and Comorbidity index of the area for the algorithm. Python was used to create the backend.
Implemented various clustering and prioritizing algorithms and presented them using tableau maps and HTML, CSS frontend website.

Github Link 🐱

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