AI-powered, cross-platform mobile application is designed to empower women through personalized health insights, cycle tracking, and holistic self-care tools. Built for individuals and families looking to better understand and manage menstrual health, mood, and lifestyle factors, the system delivers a unified experience that combines tracking, analysis, community support, and privacy-first data sharing.

It automates and personalizes the full spectrum of women’s wellness — from guided onboarding and cycle prediction to mood, symptom, and lifestyle logging, private journaling, partner/family sharing, and subscription-based premium services. The platform incorporates innovations such as AI-based recommendations, predictive alerts, granular permission controls, and Google/iCal synchronization, offering a seamless and secure environment for users to track their health and connect with trusted support networks.

This project is focused on building a mobile-responsive, AI-powered service management platform for a US-based vehicle maintenance service center. The platform will provide customers with personalized, mileage-based service recommendations, streamline appointment scheduling, and ensure seamless data synchronization through integration with X-Time, a leading automotive service software.

The project involves building a SaaS-based web portal that enables restaurants to generate unique QR codes for each table and for takeaway orders. When scanned, these QR codes allow customers to view a digital menu, place orders, and select payment options such as PayNow or PayLater. The system provides restaurant owners with an admin panel to manage menus, orders, payments, and subscription plans.
Additionally, a mobile app was developed for restaurant staff to manage incoming orders, track payment status, and receive alerts. The platform includes customizable themes, reporting tools, and supports different subscription models.