Projects

Crack Detection Using OpenCV and Machine Learning

OpenCV and machine learning techniques were used to detect cracks in walls. Trained on a huge, customized wall cracks dataset, which was custom-designed using web scraping and manual labeling. It also finds the severity of cracks, i.e., a major crack or a minor crack.

Stock Forecasting Using Tableau with Python

Used tableau for various data visualizations and preparations before feeding the data to a Naive Bayes classifier model for the future stock price predictions of the Reliance Industries Ltd. stock.

Sentiment Prediction Using NLP (Natural Language Processing) And ML

Used ML (Machine Learning) models like SVM, LTSM, Naive Bayes classifier to successfully predict the emotions, i.e. (sad, happy, neutral, anger and fear) of various textual sentences extracted from ISEAR Database.