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air-quality-index-prediction_with_deployment

India is one of the countries with the highest air pollution country. Generally, air pollution is assessed by PM value or air quality index value. For my further analysis, I have selected PM-2.5 value to determine the air quality prediction and the India-Bangalore region. Also, the data was collected through web scraping with the help of Beautiful Soup.

analysis-imdb-movie-reviews-with-bert-using-ktrain

Analysis IMDB-Movie-Reviews using BERT and ktrain. Also model deployment onto the local cpomputer.

anprwithpython

automated-libraries-for-data-visualization-and-analysis-dataprep-autoviz-and-sweetviz

best-automated libraries for helping to do interactive visualizations in python with a single line of code.

automated-libraries-for-machine-learning-

How can use some automated librires for developing a machine learning model? Then how can finalise the best model out of that.

autonomous-vehicle-running-with-line-navigation-and-object-detection-using-opencv-and-ai-techniques-

Mobility on a wide scale is moving towards complete automation. Though the technology for automating the vehicles already exists, these technologies must be optimised to fit the current environment. This project would be a scaled-down model of the Autonomous Car. By running these scaled-down models in the live streaming line detection using OpenCV.

bank-customer-churn-prediction-using-dnn-with-hyperparameter-tuning

How to Started With ANN using TensorFlow 2.0, Feature selection, Different type of optimizer and activation function, Sampling techniques

bank-full_data-analysis-uisng-ensemble-techniques-and-dnn

In this notebook, you will learn, Basic EDA (Expolary data Analysis), How to use matplotlib effectively, ensample techniques like XGBoosting and build the ANN

bitcoin-price-prediction-using-tensorflow

Live straming forecasting is the biggest challenges into the ML. Here, I applied LSTM, Bi-LSTM, and CNN Deep Learning model to forecast the price of bitcoin.

cars_counting-detection-using-haar-cacade

Cars detecting and counting using OpenCV

commandline-interface-with-a-local-computer-for-weather-dataset

Developed the command line interface with a local computer for weather data. This weather data has contained, more than 10 columns and mess up data so, This code helps to extract four columns out of that.

data_set

defect-detection-in-air-pressure-system-aps-of-a-truck-using-ml

The dataset consists of data collected from heavy Scania trucks in everyday usage. The system in focus is the Air Pressure system (APS) which generates pressurised air that is utilized in various functions in a truck, such as braking and gear changes. The dataset’s positive class consists of component failures for a specific component of the APS system. The negative class consists of trucks with failures for components not related to the APS. So, I created a model where It can able to detect whether the APS is going to fail or Not.

disastertweetclassification

ecommerce-sales-analysis-powerbi

As an internet revolution now people use online purchasing rather than directly go shopping. So, E-commerce data have to analysis and find the use full information about the business and make decisions accordingly. So, Here I used, Ecommerce data it contains various features like region, product type, sales and price etc. So, This data was queried by Power-Bi and Finally, Dashboard was created.

extract-text-from-pdf-files-in-python-for-nlp

This notebook demonstrates the extraction of text from PDF files using python packages. Extracting text from PDFs is an easy but useful task as it is needed to do further analysis of the text.

fake-news-classification-using-bidirectional-lstm-and-rnn

Apply the deep learning algorithm like LSTM & RNN for fake news classification.

feature_extraction

forcated-the-bitcoin-price-using-deep-learning

image_classification-cnn-

So, Image classification techniques are the basic of object detection So, In this Repository only contain the Image Classification problems and Transfer learning Network frame Work

impact-resistance-testing-instrument-for-ceramic-floor-tiles

impact resistance properties of tiles are important property to be identified, for that purpose impact testing instrument was fabricated according to Sri Lanka industry specification

improvement-of-seat-belt-detection-via-instance-segmentation-using-yolact-

Wearing a seat belts can reduce the risk of serious injuries by 50%, reduce accidents by up to 45%, and save an average of 15,000 lives each year. This compulsion can be emphasized by monitoring and punishing the wear of seat belts by drivers. In that sense, the detection of seatbelt in the roads is crucial. Although several studies were focused on seat belt detection, some limitations and restrictions have not yet been resolved. Therefore, this study aims to detect the seat belt using instant segmentation approach with YOLACT ++ algorithm. Also, this study intends to detect the seat belt from the real-time video.

insurance_fraud_detection-using-ml

SVM, XGboosting and Logistic regression have used for Insurance fraud detection. With feature engineering as well as feature selection and hyperparameter tuning

intent-recognition-with-bert-using-tensorflow

Intent Recognition with BERT using TensorFlow and using ktrain library. Finally, compare the two method accuracy.

iot-based-remote-sensor-data-monitoring-and-actuator-control

As the current housing systems are moving towards automation, the focus on the systems used within the house is given more focus than the customer requirement. The systems available in the current market are complex and expensive. The objective of the “IoT based remote sensor data monitoring and actuator control” project is to create a partial open-source monitoring system that can be customized based on the individual requirements of the customer which is cheaper than the available market alternatives and user-friendly.

krisharul26

Kirsnaragavan portfolio

live-face-mask-detection-using-faster_rcnn

Due to the COVID-19 regulation, people have to wear masks to protect themselves. Also, you need to create a system to find out if a person is wearing a mask or not. Also, this system should give a warning or sound when people are not wearing masks. So, I created the model with the help of Fast-R-CNN

mail-classification-using-bidirectional-lstm-and-rnn-with-different-vector-methods

Spam classification with RNN, LSTM and Bidirectional LSTM

motorbike-helmet_detection-using-yolov3

This project related to road safety. We have to wear a helmet according to road safety rules when riding a motorcycle. Therefore, these rules are monitored by the police. Also, Due to the invention of high-quality cameras and the development of the state of art in AI, the surveillance system willing to use AI system to detect whether passengers are wearing helmets or not. In this category I have built a model, first, it can be able to detect the motorcycle, then it will find out who is riding the bike. Finally, it will determine whether the person is wearing a helmet or not. To that end, I trained the pre-trained model SSD-MobileNet-V1 to detect motorcycles and humans.

password-strength-prediction-deployment

This repository, focus on password strength prediction. I have created an SVM model to classify whether password strength or medium or weak. After training the model, It has deployed on the Heroku platform.