sdessai31's Stars
orobix/retina-unet
Retina blood vessel segmentation with a convolutional neural network
imskr/Plant_Disease_Detection
Plant Disease Detector Web Application
johri-lab/Automatic-leaf-infection-identifier
Automatic detection of plant diseases
imRishabhGupta/Indian-Sign-Language-Recognition
This repository contains the code which can recognise the alphabets in Indian sign language for blind using opencv and tensorflow.
shag527/Indian-Sign-Language-Recognition
A deep learning based sign language recognition system for speech impaired people in India using Bag of Visual Words with Convolutional Neural Networks.
niquejoe/Classification-of-Depression-on-Social-Media-Using-Text-Mining
The first asian machine learning in Jeju Island, South Korea - Project
Madhuri16011998/Plant-Leaf-Disease-Prediction
AnushaNathRoy/Depression-and-Anxiety-Detection-on-Social-Media
ML Model using NLP and Sentiment Analysis.
kush1912/FAKE-NEWS-DETECTION
Machine learning Based Minor Project, which uses various classification Algorithms to classify the news into FAKE/REAL, on the basis of their Title and Body-Content. Data has been collected from 3 different sources and uses algorithms like Random Forest, SVM, Wordtovec and Logistic Regression. It gave 94% accuracy.
apurvakatti19/Youtube-Videos-Popularity-Prediction
This project predicts the popularity of youtube videos using different classifiers such as logistic regression, linear SVC and K nearest neighbors.The project also processes the youtube tags which are important to understand the popularity
Denisolt/DeepSign2Text
Final Project for Data Mining Course: Translating American Sign Language into Text
asraman9792/Indian-Sign-Language-Recognition-ML
-Sign Languages are a set of languages that use predefined actions and movements to convey a message. These languages are primarily developed to aid deaf and other verbally challenged people. They use a simultaneous and precise combination of movement of hands, orientation of hands, hand shapes etc. Different regions have different sign languages like American Sign Language, Indian Sign Language etc. We focus on Indian Sign language in this project. In this project, we aim towards analyzing and recognizing various alphabets from a database of sign images. Database consists of various images with each image clicked in different light condition with different hand orientation. With such a divergent data set, we are able to train our system to good levels and thus obtain good results. We investigate different machine learning techniques like Support Vector Machines (SVM), Logistic Regression, K-nearest neighbors (KNN) and a neural network technique Convolution Neural Networks (CNN) for detection of sign language.
SivaAndMe/Coarse-grained-Sentiment-Analysis-on-Swachh-Bharat-using-Tweets
gnaneshrasineni/Indian_Sign_Language_Recognition-using-Convolution-Neural-Networks
The Project is to identify the Indian Sign Language Gestures by building a convolution neural network model. The dataset is collected manually and is made to train the model to fit in. After a thorough training the model is set to test in a real time web camera stream under different lightning conditions. The model is able to produce a good amount of accuracy.,
AC8151/Linguistic-Analysis-for-Depression-Detection-in-Hi-En-Mixed-Tweets
This is an ML project I and my team-mates (@Sentiment-analyser) made as part of minor project. We created a Sentiment Analyser Model for detecting depression from Tweets (Hi-En) using TF*IDF, Multinomial Naive Bayes algorithm and Grid Search. Th accuracy obtained on a dataset of nearly 700 tweets was 96.15%.
valantiskon/Depression-Detection-using-ML
Depression Detection using ML is an exercise project under the subject "Text Mining and Natural Language Processing"
Varshini-E/Real-Time-Recognition-of-Indian-Sign-Language
The project achieves recognition of Indian Sign Language using hand gestures from live video capture. Implemented using Python with OpenCV, TensorFlow and Keras.
Anasuyasudhir/Indian-Sign-Language-Recognition-System-Using-CNN
Sign language recognition using convolutional neural network.It is a deep learning model which can recognise real time sign gestures of Indian Sign Language and convert it into corresponding text.
anubansal17/Mnist-Project
Handwritten Digit Recognition using Logistic Regression
arshiasultana/SentimentAnalysisForDepressionDetection
Asawari2525/ML-Project
Prediction model for Heart disease using (KNN, Logistic Regression, SVM)
kartik2112/Indian-Sign-Language-Translation-CNN
CNN trained on ISL data achieving 98.14 % test accuracy
kenngo2306/NaiveBayes_LogisticRegression
This project uses Naive Bayes / Logistic Regression to detect spam email
MahimaBhushan/Real-Time-Indian-Sign-Language-Recognition-System
manish216/CSE-572-Project-2
Handwriting comparison using Linear Regression, Logistic Regression and Neural Network.
minimtee/Sentiment-Analysis-Project
Sentiment Analysis Using Logistic Regression and SVM
Panda-is-a-mood/Project-2-Prediction-of-password-strength
Predicting strength of password using logistic regression
paranjoy/Real_Time_Indian_Sign_language_Recognition
shuaibahammed/Real-Time-Indian-Sign-Language-Recognition-Using-CNN
Real Time Indian Sign Language Recognition System Using CNN
theDeepanshuMourya/Signify
A cross model translation system from Speech to Indian Sign Language along with an emotion recognition system for real-time user input.