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OMKAR GURAV's Projects

agri-intelligence icon agri-intelligence

An Agri Culture project with 3 modules, 1.Soil Type Classification and Crop Suggestion, 2. Crop Disease Detection, 3.Agriculture Chat Bot in 6 Languages deployed on cloud and can be accessed at below link...

diabetes--eda-acc_89-f1-score_89-precision_89.5- icon diabetes--eda-acc_89-f1-score_89-precision_89.5-

Results=Top Acc=89,Benchmark : 75.97=Without any processing, XGBoost : 87.50=After Distribution Normalization + Up-Sampling + Feature Selection,XGBoost & Random Forest : 89.00=After Distribution Normalization + Up-Sampling + Feature Selection + Fine Tuning + Random State in Data Spliting,Gradient Boosting Classifier : 92.20=After removing outliers

face-mask-detection icon face-mask-detection

Created a model that detects face mask trained on 7553 images with 3 color channels (RGB). On Custom CNN architecture Model training accuracy reached 94% and Validation accuracy 96%.

flag-on-face-opencv icon flag-on-face-opencv

Adding Indian Flag Badge on face as sticker on both cheeks without using "dlib" or any Facial Key Points Extraction.

loan-approval-prediction icon loan-approval-prediction

Loan Approval Prediction Problem Type Binary Classification Training Accuracy 84% Loan approval prediction is classic problem to learn and apply lots of data analysis techniques to create best classification model. Given with the data set consisting of details of applicants loan and status whether the loan application is approved or not. Basis on this a binary classification model is to create with maximum accuracy.

soil-type-classification icon soil-type-classification

https://soilnet.herokuapp.com/ Created a Soil Classification model using Deep Learning which also suggests Crops in 6 different languages and deployed on Heroku. Soil Classification is one of the most important topics, for Farmers and Agriculture Researchers.

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