My Research

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 In variable centered analysis, the focus is on the “average” learning pattern that ignores the unobserved heterogeneity between learners which makes it inadequate, whereas person-based methods account for heterogeneity and individual differences. Through this work, our aim is to identify sub-groups of people based on a set of variables such as abilities, motivation, preferences, etc, and understand inter-individual differences instead of bringing everyone in the same pool. 

Research on what features impact and influence the pricing of cryptocurrency. I even created separate functions for the technical indicators such as Support, Resistance lines, Bollinger bands, heikin-ashi candles and many more. Based on this information, I am trying to build a model for forecasting of cryptocurrency trends. Link to the prototype: https://crypto-trend-prediction-3cd5n3lsxmq.streamlit.app/

I am currently working on synthesizing music using supervised and unsupervised learning methodologies. Working on copyright free unique music generation using unsupervised Artificial Intelligence techniques. Link to the prototype: https://cognozire-airhythms-main-2c2aqz.streamlit.app/