Projects
Senti AI
An android application where users can enter and store their diary content. The app uses machine learning to analyze the sentiment of the overall content. The app follows android material design guidelines and architecture components. This app was meant to stress the importance of mental health and be able to express and understand your sentiment on a daily basis.
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Cost of living
This project involves using a dataset and understand the nuances of the dataset by performing exploratory analysis. Exploratory analysis helps in understanding correlations, distribution, patterns, etc within the features of the dataset. In particular we focussed on understanding single bedroom rent prices in downtown by comparing cities in Canada with cities around the world.
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SPEA-2 ANM
This project investigates the importance of optimization using multi objective evolutionary algorithms and how the overall optimization process can be improved in comparison to de-facto techniques present in this field. Using SPEA-2 as our base framework , we combined anomaly detectors and support vector machines. Results showed that our system was able to get better optimization runs in standard test functions in comparison to the de-facto algorithms(NSGA-2) in our field.
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S-expression calculator
This project was built to understand the nuances of data structures, C and C++ programming. It uses stack and queue implemented in the form of linked-list. This gave us the ability to create n-ary deep expressions to perform calculation. Currently it supports add, multiply function and it only supports single deep sub expressions and not multiple deep sub expressions.
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