The data-structure-project from abdulhakkeempa

Hey 👋 , I am Hakkeem

I am a full-stack developer interested in solving real-world problems using technology. This interest led me to product engineering. Seeing the potential of artificial intelligence, I am also interested in Artificial Intelligence and Machine Learning. I am always interested in building SaaS products which solve complex real-world problems. I currently have 1.5 years of experience in building web applications and am extending my knowledge over Artificial Intelligence and Deep Learning.

I am currently open to job opportunities in the field of full-stack development, product engineering, and AI/ML. If you are interested in contacting me for any kind of services, please mail me at [email protected] .

🌐 Socials:

Reach me at [email protected] for any projects.

Projects

These are the projects that I have recently builded

Hyperpersonalised Middleware Solution - A middleware solution integrated into existing banking applications. Developed at the Fin-A-Thon hackathon by South Indian Bank, it was shortlisted among the top 15 teams out of 600 across India.
Movie Recommender System - A movie recommender system which is powered by an ML Model which is trained on a custom movie dataset from Kaggle, build to understand how modern recommender systems work.
Code-2-Doc - A micro SaaS product that transforms code from your GitHub repository into a LaTeX template built using GitHub API & Tailwind CSS.
College CMS - A Content Management System for colleges built with Laravel, PHP, MySQL, and JavaScript. It features an admin dashboard for content management and multiple user roles controlled access.
Listen Bot - A Telegram bot that will download and convert YouTube videos into MP3 files by taking the provided YouTube link as input.
Theyyam Classifier API - A Django REST API integrated with a TensorFlow image classification model. Built using Django Rest Framework and deployed on an Azure VM using Nginx for a research project.
Spam Classifier - SMS Spam Classifier with FastAPI 🚀. This project utilizes FastAPI, Scikit-Learn, and Pandas for efficient spam detection in SMS messages. It's designed to provide a solution for identifying and filtering out spam messages in real-time.