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Dhaval Bagal's Projects

basic_processor icon basic_processor

The project simulates a basic processor. It is developed using the simulator Logicly.

color-based-object-segmentation icon color-based-object-segmentation

The project uses clustering using color features as a simple approach to object segmentation. The input image is divided into n clusters based on the RGB values of the pixels, where n is provided by the user. The dataset for clustering consists of 3 columns, each corresponding to the R,G and B values of the pixels respectively. Using K-means clustering, pixels with almost similar colors are grouped into the same cluster, thereby segmenting the image.

do_redo icon do_redo

We propose a novel hierarchy-independent "Do-Redo" model for nested NER. The proposed model overcomes a number of shortcomings in state-of-the-art techniques, including the detection of overlapping entities, slow inference speed, restrictions on length or number of predicted entities, and dependence on the number of nesting levels.

pothole_detection icon pothole_detection

Pothole detection system which uses a combination of Image processing and Accelerometer technology.

simple-chatbot icon simple-chatbot

The project allows you to train your personal chatbot on your own data. You can input the intents and the examples either through the web application or by uploading a JSON file for your dataset.

summarizer icon summarizer

Implementation of summarization using transformers and hybrid pointer generator networks

tracker icon tracker

The chrome extension lets you track patterns on a web page. It alerts you when the pattern you wish to find appears in the web page.

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