Machine Learning
Projects
The majority of accidents happen due to the drowsiness of the driver. So, to prevent these accidents a system is build using Python, OpenCV, and Keras which will detect if the driver is sleepy.
Tropical Coastal areas in the part of Odisha, India suffers cyclones and associated storm regularly and thus do a lot of damage, therefore with the help of this model we can easily predict cyclone.
This model can simply predict whether the end user is effected with the covid or not within the matter of seconds when the network is fed with the sound of the 3 second of cough in an mp3 audio format.
Every year lot of cars bear hefty damage because of potholes in the road. this model prediction the Potholes with the help of the camera in real time and thus can warn the driver regarding the same.
This model helps to classify whether a person with certain features and attribute such as age, sex, chest pain (4 values) type and number of major vessels might suffer from Heart- Attack or not.
The datasets contains frames from Videos involving accidents. Implementing an CNN architecture to capture the features and predict if the images fall under Accident classification or Nonaccidental classification.
This model helps in prediction of the stock prices using LSTM (Long - Short Term Memory). The visualization is also done to compare the original and the predicted trend in Stocks prices.
Unlike simple haarcascade this project can detect faces with high confidence with the help of a pre-trained defined Caffe and SSD (single shot detector) model on an image or a webcam.
The Algorithm used in this model will be able to predict whether the given account with it's username, followers, follows, and some other details is classified as spam or genuine account.