Name: Muhammad Hamza Chippa
Type: User
Bio: Software engineer with expertise in the frontend, backend, relational and non-relational databases along with a strong background in Machine Learning projects.
Location: Karachi, Paksitan
Blog: https://mhamza-portfolio.web.app/#/home
Muhammad Hamza Chippa's Projects
Car Price is predicted agains the most correlated features of the cars using different Machine Learning algorithms.
Simple boilerplate to create cljs project
Learning Repository
Repository to use framer-motion and dnd-kit simultaneously
This repository contains the codebase of Gym management system which is created using ReactJS and hosted on Firebase. This Web Application uses Graphql API created using Hasura on the top of PostgreSQL database which is deployed on the Heroku.
A backend for gym management system implemented using prisma, nest.js and sqlite
A Personal Portfolio created using React and deployed on Firebase which showcases my work experience, projects and skills.
This repository contains the logistic regression implemented using scikit-learn which predicts whether the patient will get the heart stroke on the basis of his/her health record.
Image Zoom Functionality using React Zoom Pan Pinch
Multi Select Grid Drag and Drop Implementation using dnd-kit
Netflix clone web app is created using reactjs and deployed on firebase
Backend API for Task Management Application created using Nest.JS and Prisma
Topic Detection and Text Generation is a project in which a topic of a text is predicted (Sport, Technology and Politics category) by fine-tuning pre-trained AWD_LSTM Algorithm (implemented using Deep Learning Library Fast.ai) and text is generated by using pre-trained GPT-2 Algorithm.
This repository contains the code for weather dashboard created using ClojureScript and OpenWeathAPI and deployed on the firebase.
This project predicts the weather condition from the image which is implemented with the help of Fast.ai library based on Pytorch
This project predicts the temperature based on several attributes mainly on humidity.
This repository contains backend and frontend implemented using Clojure and Clojurescript respectively. Backend Clojure API takes two words as input and tells whether the second word can be rearranged to form the first word. The frontend is the simple UI that contains two text-field and a button to call Clojure API.