Latest Work
Get a glimpse of all the projects I have worked on
This project performs exploratory data analysis on India's Air Quality dataset to understand patterns and trends. It is also using random forests, LSTM, and CNN architectures to forecast future quality levels. This project has the potential to make a significant contribution to the understanding and management of air pollution in India.
The aim of this project is to collect and organize data from different sources of job listings. It then conducts a descriptive analysis of the data and identifies the most frequent skills demanded by employers.
FeReD is a system that contrasts the performance of cross-device federation using Q-learning. It offers step-by-step guidance for in-DBMS SQLite implementation challenges for both horizontal and vertical data partitioning. FeReD also allows to contrast the Q-learning implementations in SQLite vs a standard Python implementation.
For the ARVR course of M2 MoSIG, I developed a media controller that uses the device's sensors to interact with different media types. The controller is written in Python and runs on Android devices. It allows the user to control the playback of audio and video files by tilting, shaking or tapping the device.
This Acumen example demonstrates how utilizing machine learning can be used to enhance Cyber-physical systems to achieve intelligent behavior. Creating autonomous agents and utilizing a state-action-reward-state approach, they are capable of learning how to optimize their behavior and react to an unknown environment.
Here you can find a variety of AI techniques and approaches that are designed for different purposes and applications.
In computation intelligence, PSO is a computational method to optimize an objective function. It is a stochasticsearching method, which in contrast to many other optimization algorithms, it does not compute the gradient. It is also usually used in problems where the variables take uniform values.