TEAM CLUEDO | Devpost

Loss vs Learning Rate
Prediction of Malware
Probability of Malware assessment
Augmented reality
Clueoid Race Track

Inspiration

Growing technologies lead to growing problems. Since solutions to cybercrimes/hacking are something which is the need of the hour we decided to make a Malware Detector using deep learning ...

Coming apart from the serious things for fun we have also made a car - racing arcade game and an awesome AR......

What it does

The malware detector detects malware and notifies the user....it shows graphs and the affected part of the computer. As the theme suggests the malware detector detects mysteries in the computer

How we built it

The Malware detector was made with the help of fast.ai , a CNN and Sequential DeepLearning model and game and AR was made with Python and Java.The AR was coded in python and softwares used was openCV

Challenges we ran into

The challenges we ran into were

creating a UI for our malware Detector and coding it ..... The coding was hard and we faced a lot of disappointment but we are glad we made it work in the last.

Another challenge was the AR having the AR on the floor and coding it was one thing that was definitely grueling.

Accomplishments that we're proud of

We are absolutely proud of

our malware detector
Ar and the game
we are also proud of our teamwork and managing and competing for the work irrespective of is living in different time zones

What we learned

In this hackathon, we learned a lot in every stage of building our software...We learned how to form the framework for detecting malware and also using Unity for Game development . we also learnt using Malware Detection model made using DeepLearning and Fast.ai and a CNN and Sequential DeepLearning model

What's next for CLUEDO

Next for CLUEDO is making the malware detective very sophisticated and making its UI even better We would also be launching our detective car racing game by July 2021 in an online multiplayer version