Hello, I'mKaushik Dhola

The aim of this system is to automate helmet violation detection to reduce manual human involvement and to deduct the extensive utilization of resources for the government.

The ultimate model is fine-tuned and integrated with three distict AI models together including the Computer Vision models to fetch the coordinates of the whole vehicle and the identification number, and an OCR model to extract the textual information from the provided coordinates.

The project aimed at creating legitimate and fluent questions based on the provided passage and the intended answers.

The system provides features such as automatically extracting text from a photo for evaluation purposes, enabling the types of questions to be selected and producing a number of questions including MCQs, Boolean, short questions.

A Web-Based Machine Learning Pattern Recognition and Sentiment Analysis system to recognize handwritten images of the feedback forms and perform the image-to-text conversion.

The system was implemented with 93.13% accuracy on over 1,28,000 customer reviews in the training dataset and a validation set of 32,000 customer reviews.

The Classification goal was to predict if the client would or would not subscribe to the bank term deposit in the future by applying Machine-Learning Algorithms.

The project is comprised of various crucial tasks for a superior ML model including Data Pre-processing, Exploratory Data Analysis and Examination of Evaluation metrics for performance measurement.