Inspiration
Participating in hackathons has always been fun and interesting. When presented with a new challenge to solve, we take it as an opportunity to help people and improve ourselves along the way as well as to enjoy the feeling of hard work and accomplishment.
What it does
Theoretically, the method would present a fast and efficient way to train models without compromising and even increasing accuracy.
How we built it
It required a lot of research and understanding of existing algorithms and techniques for individual purposes.
Challenges we ran into
We are fairly new to the world of machine learning but learning through this journey has been very interesting.
Accomplishments that we're proud of
At this point we are proud to say that we would not back down during a conversation of AI and would contribute meaningfully to other peoples knowledge as well.
What we learned
A large variety of techniques and optimizations that existed that we were not even aware of and would make the process a lot easier.
What's next for Malware Analyzer
We hope to improve the model and build it as a working application and hopefully market it as a platform and contribute to the cybersecurity industry.
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