Imama Amjad's repositories
trash-to-treasure-mobile-client-app
Part of my Final Year Project (FYP), this mobile app rewards users for recycling by scanning QR codes, tracking recycling history, and redeeming points at partnered stores. Integrated with an AI-based Trash Classification Module, it promotes sustainability through gamification and real-time tracking.
trash-to-treasure-admin-web-app
Part of my Final Year Project (FYP), this web application allows platform administrators to manage users, shops, the point system, and feedback within an AI-powered waste management & recycling rewards system. It ensures smooth operation, security, and compliance for the Trash to Treasure platform.
trash-to-treasure-client-web-app
Part of my Final Year Project (FYP), this web application enables partnered shops and cafes to verify and redeem user rewards earned through recycling. Integrated with an AI-powered trash classification system, it promotes sustainable waste management by making recycling a rewarding experience.
cifar10-image-classification-vit-resnet-cnnmlp
This project implements and compares Vision Transformer (ViT), ResNet-18 (Transfer Learning), and a CNN-MLP Hybrid model for image classification on CIFAR-10. It includes a Flask-based web app where users can upload images, select a model, and view real-time classification results.
signature-recognition-cnn
A deep learning-based system for signature classification using CNN, HOG, and SIFT. This project segments signature images, applies feature extraction, and trains models to recognize individual signatures. Performance is evaluated using precision, recall, F1-score, and accuracy.
cyclegan-face-sketch-image-translation
This project implements CycleGAN for bidirectional face-to-sketch and sketch-to-face image translation. The model is trained on the Person Face Sketches dataset and includes a Flask-based API & web interface for real-time image conversion.
mlops-air-quality-prediction-pipeline
MLOps pipeline for real-time air quality monitoring and pollution prediction. Uses ARIMA & LSTM models, DVC for data versioning, Flask API for deployment, and Prometheus & Grafana for monitoring.
automated-timetable-generator
Automated Timetable Generator simplifies course scheduling at FAST-NUCES with drag-and-drop scheduling, clash detection, and room management. Built with Flask, SQLAlchemy, and Microsoft SQL Server, it ensures efficient, conflict-free timetables while reducing administrative workload.
microservices-blogging-platform-with-docker-compose
A microservices-based blogging platform using Flask, PostgreSQL, and Docker Compose. Features CRUD operations, database management via pgAdmin, and containerized deployment.
multibranch-cicd-jenkins-with-docker
Automated CI/CD pipeline with Jenkins for dev & production branches. Includes testing, Docker builds, publishing to GitHub Packages & Docker Hub, and branch protection.