My Research
From big data to person-based learning analytics: exploring the opportunities and challenges
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.
Financial Forecasting
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/
Music Generation
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.streamlit.app/