Srikanth K B's Projects
A simple model to detect the presence of a vehicle in front (in two way street) using OpenCV Python 3.
A keras based CNN model, that predicts the objects in 10different classes present in the CIFAR10 dataset of keras.
Play, not to crash with the balls or the walls.
This contains the reinforcement learning agent, that has learned to play the game CrashBalls, without being informed about the rules of the game. Any method which can improve its performance is appreciated! Thank you
This represents a deep learning model using convolutional neural network architecture for classification of traffic signs. The model is trained on a custom dataset, prepared using augumentation techniques consists of 1000 images for each class-label. The performance of the training and validation dataset is also recorded.
A model proposing feature upgrades to the existing FASTag architecture.
Detection and recognition of a person in real time live video sequences.
Application with Kotlin, Jetpack components, Navigation components, Livedata, MVI architecture
A comprehensive case study of malware dataset from Microsoft
Number recognition using MNIST Datasets.
Face recognition using Tensorflow
A free, online learning platform to make quality education accessible for all.
A free, online & offline learning platform to make quality education accessible for all.
Implementing Deep Q Network and its improvement techniques using Pytorch
This project demonstrates the classification of traffic signs in India, using deep learning convolutional network architecture.
Tagging of stackoverflow questions
Solving Sudoku using Opencv Python and deep learning