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backend

billing_invoice

This project consists of a backend microservice built with Node.js and a frontend application built with React. The system allows users to authenticate using Google OAuth, view their SaaS usage details, access billing information, and generate invoices based on cumulative usage. It also integrates with Zapier to automate billing processes.

classification-of-animals-using-deep-learning

This project utilizes deep learning techniques to classify images of cats and dogs with high accuracy, leveraging a trained neural network model. It preprocesses input images, makes predictions, and displays the classification results, showcasing the power of modern machine learning in image recognition tasks.

classification-of-brain-tumor-using-transfer-learning-and-convolutional-neural-network-cnn-

To Classify 4 types of Brain tumor using Transfer Learning and Convolutional Neural Network(CNN)

college_website

College website | website | HTML & CSS

frontend

image-similarity-measurement-using-orb-feature-matching-and-percentage-calculation

The objective of this project is to develop a system that compares two images and determines their similarity as a percentage. This is achieved by using feature extraction and matching techniques to identify common visual elements between the images.

movielibrary-webapp

online_bloodbank

Online Blood Bank

plant-disease-segmentation-using-parallel-image-processing-with-python-ray

To Identify Plant Disease Segmentation Using Parallel Image Processing with Python Ray

prediction-of-electricity-consumption-using-machine-learning-algorithms

This project assesses machine learning models for predicting household appliance energy consumption using five years of monthly data. We evaluate algorithms and ensemble methods like Gradient Boosting and Random Forests to enhance predictive accuracy. Our findings aim to improve energy efficiency and resource allocation.

stack-overflow

tableau

workout