The app aims to help individuals with sleep issues like difficulty falling asleep, waking up too early, or trouble resuming sleep by analyzing sleep sounds through the device’s microphone. It will leverage AI to classify sleep sounds, detect snoring, and assess sleep apnea risk, providing personalized insights and recommendations. Using AI-driven analysis, the app will offer real-time reports and track sleep patterns, all while functioning offline. Additional features include meditation videos, sleep tracking, and relaxation tools to improve sleep hygiene.

It is an in-venue restaurant ordering system that allows customers to pre-order food for on-table delivery or pickup, eliminating the need to wait in long queues. The system will consist of a mobile application for customers and a web-based backend for restaurant management.

The project aims to develop a comprehensive e-commerce portal for SWP, an international photography agency specializing in school photography. The portal is designed to allow parents to view and purchase student photos, manage their children’s profiles, and communicate directly with SWP.
The development is divided into two phases. Phase 1 includes building the portal's core functionalities such as photo uploads, client and job management, access control, user roles, and basic reporting. Phase 2 focuses on implementing complete back-end services and workflows to integrate with the front-end components established in Phase 1.