Nasa Spaceapps Hackathon

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Interactive World Map which has embedded an automatic hazard detection based on Machine Learning Models. The web application provided integration with Google Maps for displaying the map in an intuitive UI which was calling NASA/MODIS APIs for getting satellite data from particular coordinates. Afterwards the satellite images were passed through an ML model to predict the probability of a hazard in the selected area. The models were trained with images provided by NASA Experts as part of this Hackathon.

• Event: Hackathon Project
• Date: October 2020
• Tags: Web Development & Data Science

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Mind Mapper

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MindMapper the Final Project for my Master Degree (MSc Advanced Computing Technologies). The project aims to automate the process of generating a mind map for a particular concept by using Natural Language Processing algorithms. This is a particular class of algorithms under the Machine Learning which tries to understand human language. The algorithms used referred to as topic modelling and it is quite popular in text summarization field. The final output of the project is a web application which is centred around a mind map that can be edited or generated in an automatic manner.

• Event: MSc Final Project
• Date: September 2019
• Tags: Web Development & Natural Language Processing

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Ehealth Gdg Hackathon

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Awarder 2nd place at GDG eHealth Hackthon in 2016, Bucharest by developing a hands-free platform integrated with vocal commands which consists of an Android App and a Website. Using cloud-based solutions such as Google Firebase, my team and I delivered a rapid-prototype that reduces by 80% the time spend on completing the registration forms. In addition, the application offered analytics on patient data, priority management based on the level of emergency for each patient.

• Event: Hackathon Project
• Date: Septmber 2016
• Tags: Web Development & Voice Recognition

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