August 22, 2019 - Webinar
Join us as we continue this series of webinars specifically designed for the community by the community with the goal to share knowledge, spark innovation, and further build and link the relationships within our HPCC Systems community.
This episode includes four of our summer HPCC Systems interns and their projects:
- Yash Jain, studying for a Bachelor of Engineering (Computer Engineering), University of Mumbai - Cluster Deployment with Juju Charm
The aim of this project is to write reactive charms using the charm helper framework along with tests in amulet. Previously, Yash has worked as an intern with the open mainframe project porting Kata Containers to the mainframe platform. His work was presented at the Open Source Summit EU held in October 2018 in a joint talk with the other interns. He has also worked on the development of a content management system at the VES Institute Of Technology, He has been ranked 280 in TCS Codevita, a competitive programming competition, in 2017.
- Akshar Prasad, studying for a BTech in Computer Science, Rashtreeya Vidyalaya College of Engineering (RVCE) - Fraud Detection in Value Based Cards
The full title of this project is 'Detection of fraud in stored-value cards by applying CNN and Random Forest machine learning models on transactional data to classify a transaction as “Fraudulent” or “Not fraudulent'. These methods will be compared for efficacy. In his proposal, Akshar pointed out how the features of a stored value card, while attractive to consumers from data privacy and anonymity points of view, are also susceptible to fraud. Identifying fraudulent methods in a cost effective and timely manner is a challenge for companies who supply these cards.
Akshar is seeking to prove that the machine learning model he has chosen provides an easier method of solving the problem of identifying anomalies quickly that may suggest a fraudulent transaction has taken place.
- A Suryanarayanan, studying for a Bachelor of Engineering (Computer Science), Rashtreeya Vidyalaya College of Engineering (RVCE) - Evaluation of Machine Learning Algorithms
Surya's project involves providing additional evaluation methods for our Machine Learning Library, including running comparisons with existing benchmarks, the addition of new evaluation metrics and the enhancement of performance checking. These evaluations will help the performance of the models and enhance their ability to choose the appropriate method for the given data. The aim is to provide an evaluation tool that integrates well with features such as the Myriad Interface.
- Sathvik K R, studying for a Bachelor of Engineering (Computer Science), Rashtreeya Vidyalaya College of Engineering (RVCE) - Interfacing Octave with ECL
The aim of this project is to support Octave by allowing the embedding of Octave database queries within ECL code. This will be done with the help of simple wrapper classes to handle scalar values and structured data, including multi-threaded access from the ECL side. This will add to the growing list of embedded languages and datastores we currently support.
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It’s easy! All you need to do is submit a talk title and brief abstract to firstname.lastname@example.org. If chosen, you will be asked to present remotely for an upcoming 20-minute tech talk.