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  • šŸ”­ Iā€™m currently Working on Computer Vision
  • šŸŒ± Iā€™m currently learning Deep Learning
  • šŸ‘Æ Iā€™m looking to collaborate on Image Processing related works
  • šŸ¤” Iā€™m looking for help with Medical Imaging
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  • šŸ˜„ Pronouns: Pramod

Pramodha M's Projects

income_class_prediction icon income_class_prediction

This repo contains a Jupyter notebook of machine learning models for income class prediction using 1994 US Census data from UCI machine learning repository

medicinal-plants icon medicinal-plants

For the protection of natural resources, plants are of central importance. Identification of plant species offers important knowledge on the categorization and properties of plants. Many plants are richly having medicinal ingredients and contain medicinal active ingredients. The identification of these plants is immediately necessary because of the need for mass production. The manual identification of medicinal plants takes time and the assistance of plant identification experts is necessary. To solve this problem, it is essential for human beings to automatically recognize and classify medicinal plants. Among AI technologies, deep learning has demonstrated strong performance in many automated image-recognition applications. The aim of this study was to develop and test a deep learning system capable of Identification of Medicinal Plant.

nlp-notebooks icon nlp-notebooks

A collection of notebooks for Natural Language Processing from NLP Town

py icon py

Repository to store sample python programs for python learning

qc-cnn icon qc-cnn

Quantum-classical hybrid convolutional neural network for classical image classification

qnt_alzmrs_pred icon qnt_alzmrs_pred

FuQdan is a quantum computing algorithm that acts as a binary classifier for MRI scan images. The goal of this project is to classify MRI scan images as with dementia or no dementia. By leveraging the power of quantum computing, we aim to provide a more efficient method for analyzing MRI scans in terms of space complexity.

resources icon resources

A repository of resources used in our tutorials and guides āš”ļø

samples icon samples

Getting started for running automation testing on Kobiton platform

text-mining icon text-mining

Materials associated with theText-mining for Social Science Research training series

udacity-advance-lane-detection-of-the-road icon udacity-advance-lane-detection-of-the-road

Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Finding Project. Identifying lanes using edge detection (Sobel operator, gradient of magnitude and direction, and HLS color space), camera calibration and unwarping (distortion correction and perspective transform), and polynomial fitting for the lanes.

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