rumit95 Goto Github PK

animals-recognization

Built a CNN model from scratch using the data provided by Microsoft to help in recognizing the particular animal in a image

auto_segmentation

This project demonstrates semantic image segmentation using a custom architecture that combines MobileNetV2 and U-Net. The goal is to accurately segment objects in images, showcasing a robust approach to image analysis.

cancer-cell-segmentation-u-net

Explore my GitHub repository showcasing a custom U-Net architecture tailored for precise segmentation of cancer-causing cells, advancing accurate medical image analysis.

car-price-prediction

Prediction of car prices using linear regression

charaters_generator_app

The Font Image Generator App creates diverse character images using various fonts, aiding in dataset creation for machine learning and analysis.

coin-tab-assignment

As the amount that X has to pay to the courier companies is very high, they want to verify if the charges levied by their Delivery partners per Order are correct

covid-detection

The objective for this task is to demostrate the ability to build ML regression and clasification model and evalute its performance by prediting the required features

covidsql2019-2022

Getting the insights from the Covid Dataset using Sql Query

customer_term_deposit

The classification goal is to predict if the client will subscribe a term deposit (variable y).

dqn

Coding Demos from the School of AI's Move37 Course

indianfooddatasetgeneration

6000+ Indian Food Recipes Dataset created by crawling, scraping, cleaning and transforming content on https://www.archanaskitchen.com/

one-stop-shop

This is a web application created with the idea that, as online shopping websites grow larger local shops find it harder to compete in the market. But local shops has a huge advantage over online website in person experience, immediate purchase means no waiting for product to arrive. only sector it gets hampered is people need to visit to shop to check the availability of the required product and roam over cities to find it. Hence This web application.

optical-character-recognition-ocr-with-neural-networks

This project aims to recognize English letters from images using neural networks and custom NumPy logic. The goal is to extract text from images and display it in a web application built with Flask.

p2p-loans

This Project is Dataquest's Monthly Challenge. Data is from year 2007-2019.

package_sorting_system

This project implements a Box Condition Prediction system using deep learning algorithms. It includes two trained models: one for detecting the camera angle (orientation) of the box and another for determining whether the box is damaged or not.

pong-game

This project is a simple implementation of the classic Pong game using Python, Pygame, and Pymunk for physics simulation.

portfolioprojects

python-games

A collection of small python games made by me using pygame and tkinter libraries

pytorch-for-dl

Learning

recommend-system-for-books

A recommended system for books using popularity and Colaborative filter.

rumit95

semantic-segmentation-of-image

This project demonstrates semantic image segmentation using a custom architecture that combines MobileNetV2 and U-Net. It aims to accurately segment objects in images, showcasing a robust approach to image analysis.

test_var

vehicle-detection

Using YOLOv5 For real time objects detection

vercel-fastapi-deployment

testing out vercel deployment

yolo-basic