Workplace Attendance System (Face-ID)
Full-Stack Flask Application
A face recognition–based attendance system built using Flask and OpenCV. Features include employee enrollment with multiple angles and an SQLite backend for managing 512-D FaceNet embeddings.
Flask OpenCV SQLite3 Deep Learning
Student/Teacher Management Portal
Modern Web App with Cloud Storage
A web-based system featuring a modern UI built with HTML/CSS/JS. It utilizes a FastAPI backend for high performance and Firebase for real-time data storage and student analytics.
FastAPI Firebase JavaScript Plotly Dash
Hidayah - Comprehensive Islamic App
Streamlit Web Solution
A multi-page application integrating Quranic APIs, Hadith libraries, and live prayer timings. Focused on providing a clean, accessible interface for global users.
Streamlit REST APIs Pandas Python
MNIST Digit Recognition Suite
Deep Learning Interactive Suite
Features a Digit Detector and a Digit Arithmetic Calculator. Built with a CNN Keras model achieving 98-99% accuracy, deployed via Streamlit for real-time handwriting recognition.
Keras TensorFlow Streamlit CNN