bha08vya

bha08vya's Stars

• navinreddy20/Javacode

  Language:Java426355

• veenapaul/SQL-Basics-to-Advanced

  Language:TSQL62

• tzutalin/dlib-android

  :dragon: Port dlib to Android

  Language:C++866268

• ageitgey/face_recognition_models

  Trained models for the face_recognition python library

  Language:Makefile351172

• Antimatter13x/Student-engagement-analysis-using-frequency-neural-network

  Students’ involvement and active participation is key to both - a good learning and teaching experience. Feedback from the students is invaluable in making the course material more relevant and interactive. Getting real time data from students’ facial expressions during the class would give better insights about the teaching methods or a particular topic. We use frequency neural network (FreNet), for facial expression recognition. Different from convolutional neural network in spatial domain, FreNet inherits the advantages of processing image in frequency domain, such as efficient computation and spatial redundancy elimination. We can also use this data to determine at which part of the lecture do students find it boring or when they actually zone out. These metrics can be incorporated into preexisting teaching methods to further improve the overall quality of learning experience.

  Language:Jupyter Notebook2

• tejasnavalkhe/Student-Engagement-Prediction-System-using-Deep-Learning

  Language:Jupyter Notebook1

• Kalyan0701/Breast-Cancer-Detection-using-CNN

  This system detects breast cancer using ultrasound images. Performance of three different architectures of CNN are compared.

  Language:Jupyter Notebook3

• Priyansh-15/Breast-Cancer-Detection-Using-CNN-on-Ultrasound-Images

  This Project is a 7 Layer CNN Model consisting of 3 Convolution layers each followed by a Max Pooling Layer and Fully Connected layer on Breast Ultrasound Images to classify them as Benign, Malignant and Normal stages.

  Language:Python64

• Western-OC2-Lab/Student-Performance-and-Engagement-Prediction-eLearning-datasets

  This repository contains the datasets used as part of the OC2 lab's work on Student Performance prediction and student engagement prediction in eLearning environments using machine learning methods.

  1014

• AaronDP/ageitgey

  Language:Python297

• davisking/dlib-models

  Trained model files for dlib example programs.

  Language:C++1.5k375

• ChanWenLe/student_engagement-analysis

  Language:Python1

• Abis47/Parkinson_Detection-KNN_WebApp

  Parkinson Disease Prediction using KNN Model followed by Deployment of Model as an WebApp using Heroku

  Language:Jupyter Notebook55

• rezaurrakib/JK_GCN_ParkinsonsDiseasePrediction

  Graph based deep learning methods for Parkinson’s Disease prediction.

  Language:Jupyter Notebook52

• govardhan26/Parkinsons-Disease-Prediction

  As an early diagnosis step machine learning classifiaction algorithms could be used in finding if the patient is prone to parkinsons disease.

  Language:Jupyter Notebook73

• PBA443/ANPR-FYP

  Traffic rule violation detection system using YOLOv8

  Language:Python2

• AmitKolekar/TRVDS

  Traffic Rule Violation Detection System : I've developed a machine learning system with the ability to detect road violations through video surveillance cameras. This model has undergone rigorous training using a diverse set of data, resulting in exceptional accuracy.

  Language:Python3

• u6920781/Student-Engagement-Prediction-with-LSTM

  Language:Python2

• Pembo2008/engagement-recognition

  Prediction of student's engagement in online-lecture by video

  Language:Jupyter Notebook2

• liviaellen/engagementdetector

  Projects Student Engagement Detection System in E-Learning Environment using OpenCV and CNN

  Language:Python92

• omidmnezami/Engagement-Recognition

  Automatic Recognition of Student Engagement using Deep Learning and Facial Expression

  Language:Python6321

• piyushpathak03/Blood-group-Detection-using-image0processing

  Language:Python6

• pranavmaurya/blood_group_detection

  Language:Python1

• Bhanusri-kanumilli/BloodGroup_Detection_using_HandImages

  This was my major project done in B.Tech final year. The idea behind the project was detecting the blood group of a person by using hand images scanned by using sensors. By using Image processing Technique blood group is detected by processing the hand spectrum images. Here we can detect the blood group of a person without using blood samples.

  8

• anirudhjaishankar/Blood-group-Detection-using-python

  Project for detecting blood group using image processing in python

  Language:Python1512

• notniraj/Paws-Prints

  A lost and found pet portal app with more features to be added in the future.

  Language:HTML1

• FaithWanjiruN/petstore

  Language:HTML1

• astrolabesun/pet-adoption

  Personal project where users can apply to adopt a pet.

  Language:Python1

• Max-Derner/pet-diary

  WORK IN PROGRESS! This is a pet health diary, it is intended that you can log all medication, pet details, observations on health, etc into a database. You can then query that database, get email reminders about upcoming vets appointments and medication administration,and even generate summary reports for your vets to assess their health.

  Language:Python31

• charliechase96/vaxtrax

  Vaccine tracker app for your pets. Make a profile for each pet, then list their vaccines and when they are due, and set alerts to be sent to your email either 60, 30, 7 days before vaccine is due, or the day of. Will be made into a mobile app down the line.

  Language:Python1