sairamadithya/tkinter-4-haarcascades

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sairamadithya/tkinter-4-haarcascades

sairamadithya

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this is an integration of open-cv with Tkinter to build a GUI which can recognize and block the face, eyes, and the individual right and left eye. also, the user has the option of selecting the colur for the box from 5 options

toxic_plant_detector

this project is all about the pretrained CNN(mobilenetv2) which is capable of differentiating toxic plants from safe plants using transfer learning.

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image_processing_tutorial

this project is like an opencv image processing guide. this project contains about 35 different options to play with. just simply enter the location of the image and play with the 35 different options

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mnist

the mnist dataset contains grayscale images of postal numbers from 0-9 written in different formats. this is like the hello world of deep learning and it is essential that every deep learning aspirant works on this.

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body_measurement_calculator

this python project uses a series of else if loops to calculate 9 different body measurements and also provides the healthy ranges for most of them

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fashion_mnist

this project is all about building,creating,training,evaluating and testing a convolutional neural network (CNN) to solve the famous fashion mnist dataset

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cardiovascular_risk_prediction

this project is done to predict the risk of cardiovascular disease using 10 basic information.

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heamophilia_predictor

this project predicts the presence of an genetically inherited disease called heamophilia by asking a series of questions

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vehicle_registration_number_generator

this project generates a registration number for vehicle based on area of residence in chennai

lung-CT-classification

This project is a website that classifies the given lung CT image into one of the four lung cancers like adenocarcinoma, large cell carcinoma, squamous cell carcinoma and normal.

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biomedical_instument_detection

This project involves computer vision and transfer learning to detect the basic biomedical equipment as diagnostic and therapeutic. This method uses the mobilenetv2 model and was able to achieve about 90% accuracy.

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oscillator_parameter_calculator

this project can be used to calculate the frequency of operation and the feedback resistance required for proper functioning. there are two methods one with function and another without function an else if ladder is used to select the type of oscillator and then get the resistance and capacitance values then the frequency and feedback resistance values are calculated and returned

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weight_loss_tracker

this project tracks the calories burnt in a gym session by adding up individual activities and using this creates a weight loss programme based on the goal decided by the user

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OCT-classification

OCT is a non-invasive technology used for the diagnosis of the eye, especially the retina. This project uses such OCT images to classify and aid in the diagnosis of age-related retinal problems.

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medical_waste_segregation

this project is about medical waste segregation. This works by classifying the type of waste along with a suitable method of disposal

cifar-10

the cifar-10 is a classic dataset for beginers to work upon their skills (including me). the accuracy can increase by buiding a model with more layers, however it takes time

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covid-prediction

this project detects the presence or absence of COVID using chest x-rays. a custom Convolutional Neural network is used for the task. a unique function has been used in the last step which shows the imae and output

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tkinter-2-gmail_prototype

this project is another application of the tkinter library in python which can be used to create GUI. this one has procedues

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ML-project--prostrate-cancer-prediction

This project involves the development of ML algorithms for prediction of prostrate cancer

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ML-project--EEG-control-test-prediction

This project is about the development of SVM to classify patients based on their EEG data

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tkinter-1-calorie_calculator

this is a tkinter application which creates a graphic user interface useful for calculating calories for individual activities and then showing the entire result.

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ML-project--control-test-prediction-using-EEG

This project involves the development of ML models for several EEG datasets.

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ML-project--breast-cancer-prediction--coimbra-dataset

The project involves the development of ANN for predicting breast cancer using coimbra dataset

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flight-delay-prediction--kaggle-comp

This notebook is a submission for a kaggle competition to predict delays in flight.

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facial-feature-classification-for-autism

this project is about a website that detects autism in children using the frontal facial images.

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ML-project--lumpy-skin-disease-prediction

This code uses machine learning to predict the presence of lumpy skin disease (a dreadful skin disease that can affect the entire body of cattle) based on geospatial data. The dataset was cleaned, and it has class imbalance, so it was appropriately resampled and was trained with an SVM.

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Week-1--Image-Processing-for-Medical-Imaging

This notebook is a tutorial for some basics of image processing related to medical imaging. It involves some basic case studies at the end.

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food-consumption-data-cleaning

This work explains the standard steps involved in data cleaning for a csv dataset using pandas, numpy, seaborn, scipy and sklearn libraries.

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brain-tumor-detection

this project is about a website that automatically detects the brain tumor from the given MRI images.

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ML-project--stroke-prediction

This project involves the prediction of stroke from basic lifestyle and bioparameters of the patient.

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ML-project--diabetes-prediction

This project involves the comparison of performance of ML and DL algorithm for the prediction of diabetes.

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Prediction-of-Invasive-Ductal-Carcinoma-using-Biopsy-Images

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food-nutritional-database--data-cleaning

This project involves the cleaning of the food nutritional database provided by United Nations Children’s Fund (UNICEF). This code deals with the empty values, irrelevant data, duplicate data, outliers along with appropriate feature scaling techniques.

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ML-project--heart-disease-prediction

this notebook is done as a submission to kaggle competition for heart disease prediction

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ML-project--breast-cancer-prediction-using-mean-radiological-features

this project involves the development of SVM and ANN to predict breast cancer based on mean radiological features.

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spotify-explicit-content-prediction

this project is about the development of ML algo to predict explicit content in spotify

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video_processing

this is an opencv tutorial which comprises of the 35 different options available for the user to choose upon. these are similar to that of the 35 optons available in images. here the webcam will automatically turn on and the selected option will be displayed....

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emotion-detection-through-speech

audio-classification

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Week-2--Basics-of-Image-Classification

this notebook is about the workflow of image classification using tensorflow and keras

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streamlit-to-heruko

autologging_ML

this repository comprises of files related to the python package for the automated logging and visualization of metrics for classification and regression based ML tasks.

Integrated-system-for-detection-of-diabetes-using-deep-learning

sairamadithya

webscrapping_mobile_phone_amazon

This notebook is about the usage of requests and beautifulsoap to scrap data from amazon website and create a csv file out of it.

website-for-smartagri

repo for website for smartagri

Protien-powder-dataset-scrapping-from-flipkart

This project is about the development of a dataset for protein powder price estimation using webscrapping technique from flipkart website.

nn

metropt--predictive-maintenance-

pregnancy-monitoring-from-cardiotocographic-data-using-ML

This project is about the development of a machine learning model and website for the analysis of the cardiac health of the fetus using cardiotocographic data.

Chronic-Kidney-Disease-Prediction-using-ML

This project is about the development of a machine learning model and website for the automated diagnosis of chronic kidney disease from blood tests using machine learning.

urinary-stone-segmentation

GastroEffNetV1--CNN-based-detection-of-gastrointestinal-abnormalities-from-capule-endoscopy-images

portfolio-website

my portfolio website designed using HTML, CSS and JS

mithun

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integrated-deep-learning-framework-for-breast-cancer-diagnosis-using-medical-imaging