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1. Real-Time-Object-Detection-MobileApplication Real-Time-Object-Detection-MobileApplication Public

   It uses YOLO, MobileNet & PoseNet models and tflite module of flutter on backend whose user interface is based on flutter Application Development

   Dart 1

2. LOSO-Mobile-Responsive-Website LOSO-Mobile-Responsive-Website Public

   It is a Mobile Responsive Website made using HTML, CSS, BOOTSTRAP. It also contains various animations features which makes it eye catching and interactive website.

   HTML

3. MNIST-BASED-MODEL-CNN MNIST-BASED-MODEL-CNN Public

   It is a CNN(Convolutional Neural Network) model trained on MNIST Dataset(Handwritten Digits dataset) with an accuracy of 99.6 % .Also the Visualisation each layer of the sequential model is done too.

   Jupyter Notebook

4. MNIST-BASED-MODEL-CNN-Object-Oriented-Approach MNIST-BASED-MODEL-CNN-Object-Oriented-Approach Public

   It is a CNN(Convolutional Neural Network) model trained on MNIST Dataset(Handwritten Digits dataset) with an accuracy of 86.2 % using Tensorflow in Object Oriented Approach.

   Jupyter Notebook

5. FACE-SENTIMENT-DETECTOR-MODEL-CNN FACE-SENTIMENT-DETECTOR-MODEL-CNN Public

   The objective of this CNN(Convolutional Neural Network) is to classify each face based on the emotion shown in the facial expression into one of seven categories (0=Angry, 1=Disgust, 2=Fear, 3=Happ…

   Jupyter Notebook 1

6. Real-Time-Face-Sentiment-Recogniser-WebApplication Real-Time-Face-Sentiment-Recogniser-WebApplication Public

   It is a CNN Based model using keras.It Detects the Facial Expression of the Face and tells what is the sentiment/expression out of 7 different types of sentiments (0=Angry, 1=Disgust, 2=Fear, 3=Hap…

   Jupyter Notebook 1