Hi, I'm Affan 👋🏻
Computer Science @ The University of Manchester

About

Passionate computer science student delving into the realms of technology and start-ups with a drive to innovate and solve complex problems.

Skills

React
Next.js
Javascript
Typescript
Node.js
Express
Python
Pandas
Numpy
Matplotlib
Java
C
MySQL
MongoDB
Firebase
Appwrite
jest
Socket.io
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

Schedulr

A scheduling platform that streamlines booking and appointment management by integrating with Google Calendar for real-time availability and event creation.

Typescript
Next.js
TailwindCSS
Node.js
Express
MongoDB
Nylas API

Chatify

Chatify is a real-time one-on-one chat application built using MongoDB, Express, React, Node.js and Socket.IO for real-time messaging. It allows users to engage in real-time conversations with each other seamlessly.

Javascript
React
TailwindCSS
Node.js
Express
MongoDB
Socket.io

Yap

A microblogging social platform where users can create posts, interact with comments, and receive notifications.

Javascript
React
React-Query
TailwindCSS
Node.js
Express
MongoDB

FlashAI

A tool that uses AI to help students generate flashcards for any topic.

Javascript
React
TailwindCSS
Node.js
Express
MongoDB
Gemini API

Git-Status

Git Status is a social platform that integrates GitHub authentication to allow users to view and like profiles and check public repository counts of other users.

Javascript
React
TailwindCSS
Node.js
Express
MongoDB
Passport.js
Github API

+Ample

A Chrome extension that enables AI across the web to seamlessly write your emails, posts, tweets, articles, and other text.

Javascript
React
TailwindCSS
Node.js
Express
MongoDB
Gemini API

Magic Bakery - Game

A multiplayer command line game, inspired by KimJoy’s Magic Bakery, where players team up to fulfill orders.

Java

Spam Email Classifier

A Machine Learning model utilizing Naive Bayes classifier for spam email classification. The model was trained on the Enron email dataset and achieved an accuracy of 87%.

Python
Pandas
Numpy
Contact

Get in Touch

Want to chat? Just shoot me a dm