naralakamsani Goto Github PK

daily-task-manage-app

An app that connects an SQL database, and interactively allows users to update, add, delete task that need to be completed

dictionary

Allows user to type any word to find the definition. If the word does not exist, it finds similar words. Then, it asks the user if the similar word is what they were looking for.

face-detector

Uses Haarcascade library to identify if there is a face. This data is stored using the Pandas library into a data frame. Then, it displayed in a motion graph using Matplotlib and Bokeh library.

fake-face-detector

A command line application that loads and preprocesses a dataset of images using pytorch to train a model, which is converted to ONNX to be used with OpenVino for inference.

finding-donors-using-machine-learning

Evaluate supervised machine learning algorithms to determine which algorithm will provide the highest donation yield

image-classifier

A command line application that loads and preprocesses a dataset of images using torchvision, pandas, numpy, and PIL. It uses pytorch to train a modified pretrained neural network on the data to predict flower image content.

interactive-map

Uses the Folium library to create and interactive map. The map is colored based on the population in a region and has all volcanoes in America pinpointed with their details.

motion-detector

Uses the cv2 library to open each frame of video from webcam and checking the previous frame to see difference to identify motion. This data is stored using Pandas library into a df which is then displayed in a motion graph using Matplotlib and Bokeh library.

onnxruntime-inference-examples

Examples for using ONNX Runtime for machine learning inferencing.

real-estate-web-scraping

Collected data from Century21 website using Beautiful Soup library, and used Pandas to organize the data into an excel sheet

reciperec

sentiment-analysis-imbd

A simple web page in which a user can use to enter a movie review. This web page will then send the review off to my deployed model in SageMaker which will predict the sentiment of the entered review.

stock-data-graphs

Using past stocks data, I created a candle stick graph using Matplotlib to help visualize the data. This graph can be modified to show different ranges of years and can easily be changed to a different type.