Kunal Attri
My Projects
- Fruit Quality Detector
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It is an Android application that can accurately identify the quality of various fruits.
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For this, we trained a DNN model based on EfficientNet B5 to classify fruits into various qualities.
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Then, the model was integrated into an android application.
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It can identify 6 different fruits:
- Apple
- Banana
- Guava
- Lime
- Orange
- Pomegranate
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Fruits are classified into either of 3 categories:
More Details
or Download app
- Malware Detection using Machine Learning
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Malwares can wreak havoc on a computer and its network.
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Hackers use it to steal passwords, delete files and render computers inoperable.
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And so, I gave a shot at trying to detect malwares using machine learning.
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For this, I trained a Random Forest model to detect if a given .exe file is a probable malware or not.
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On our test test dataset model was able to achieve an accuracy of 84.36 %.
More Details
or Try at Streamlit
- SecureIT - Data Security using Cryptography and Steganography
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Developed a python application to encrypt and decrypt files into a very secure form.
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It uses various Cryptography techniques such as RSA, AES, TripleDES.
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It also uses Steganography techniques - Image and Video, depending on the size of input data.
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The idea was to develop a technique to secure data into a form which cannot be decrypted by the fastest and best rigs also.
More Details
Maths Programs
Matplotlib Graphs
Other Python Programs
Android Apps
