dsc440 Goto Github PK

alert-generation-on-detection-of-suspicious-activity-using-transfer-learning

ADAG (Activity Detector and Alert Generator) aims to take real-time videos from CCTV as an input and pass it to the CNN model created with the help of transfer learning and detect ‘Shoplifting’, ‘Robbery’ or ’Break-In’ in the store and notify it to the owners as soon as it occurs. Finally the main motive is to provide a system that detects suspicio

dsc440

Config files for my GitHub profile.

eth-send

Simple way to send ether.

shoplifting-detection

SL -Shoplifting detection Provides real-time alerts for the SMB market retailers, to monitor and report customer behavior when shoplifting incidents occur. 3D Convolutional Neural Network in Keras and AWS Sagemaker for model training and evaluation.

shoplifting-detection2-ipynb

testgit

repository for testing git

visualising-and-forecasting-stock-using-dash

I built a Web Application using Dash framework of python this application generate 4 output ie; company detail, Current Stock Price, comparision with predicted price and forecast stock price by taking Stock Tickers as input. In backend I use SVM to train the model and using other ML module to check accuracy and increase the accuracy of model.