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akamehrad's Projects

cppcoreguidelines icon cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

cubbit-vault icon cubbit-vault

Cubbit Vault is advanced online file encryption and decryption tool that helps users to encrypt files on the client-side, making it less vulnerable in the internet space and decreasing its chances of getting viewed by a third party.

demographic-segmentation icon demographic-segmentation

Demographic segmentation is market segmentation according to age, race, religion, gender, family size, ethnicity, income, and education.

english-dictionary icon english-dictionary

This is a Basic Dictionary application made by using the concept of Dictionaries in python.

face_detector_using_opencv icon face_detector_using_opencv

This is a face detector that uses OpenCV2 for detection of faces using inbuilt harcascades classifiers for feature extraction,depending upon the dataset most precise results can be obtained,more the data ,well is the program trained and thus its ability of recognition is enhanced.

machine-learning icon machine-learning

This Repository contains Information about Machine Learning Models and their source code

open_cv-implemetation icon open_cv-implemetation

Here's is the direct implementation of Open CV from the Open CV 3 documentation in python in order to make a better understanding of this fantastic module.

openvino-people-counter-app icon openvino-people-counter-app

The people counter application will demonstrate how to create a smart video IoT solution using Intel® hardware and software tools. The app will detect people in a designated area, providing the number of people in the frame, the average duration of people in frame, and total count.

pandas-challenge icon pandas-challenge

This Repository Contains Code of My One Night Dedicated to Pandas in order to take my hands on Pandas from Novoice to Medium Level : )

pixacular icon pixacular

This Project is based upon the fact of Colorizing the old / Black and white pictures automatically by effective utilization of Convolutional Neural Network.

plant-disease-detection icon plant-disease-detection

Plant Disease Detection is one of the mind-boggling issues when we talk about using Technology in Agriculture. Although researches have been done to detect whether a plant is healthy or diseased using Deep Learning and with the help of Neural Network, new techniques are still being discovered. For Fewer Data Classical Machine Learning Models are said to outstand given the data is pre-processed well. On the same theory here is my approach for Detecting whether a plant leaf is healthy or unhealthy by utilizing the classical Machine Learning Models, Pre-processing the Image Data. The data was fed to 7 Machine Learning Models with 10 fold cross-validation out of which Random Forest Classifier outperformed all the other models giving an accuracy of 97% on the test set.

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