Projects using PostgreSQL in GujaratProjects using PostgreSQL in Gujarat
Cover image for Scalable Event Booking Backend with
Scalable Event Booking Backend with Payments & Real-Time Chat I built a scalable backend system for a social event booking platform that enables hosts to create events and guests to discover, join, and interact in real time. The platform is currently generating over $60K+ in revenue, handling real users, payments, and live interactions. 🚀 Key Features & Contributions: • Designed a multi-role system (Host & Guest) with secure authentication • Built complete event lifecycle: creation, booking, participation, and reviews • Integrated Stripe for payments, including wallet system for hosts • Implemented payout flow allowing hosts to withdraw earnings • Handled refunds, disputes, and transaction management 💬 Real-Time Communication: • One-to-one chat between users • Event-based chat for participants • Group chat system for social interaction • Media sharing (images, voice notes, events, reminders) 📈 Growth & Engagement Systems: • Followers & following system (social graph) • In-app notifications, email, SMS, and WhatsApp alerts • Event promotion and user engagement features ⚙️ Performance & Scalability: • Optimized backend to handle concurrent users and real-time messaging • Designed scalable architecture for future growth • Ensured secure and reliable payment processing 💡 Result: A production-ready backend powering a live platform with thousands of users and $60K+ revenue, built for scalability, performance, and real-world usage.
1
155
Cover image for SleepScore: Smart Sleep Tracking Platform
◆
SleepScore: Smart Sleep Tracking Platform ◆ Context & Challenge The client wanted to create an intelligent sleep tracking platform that helps users understand and improve their sleep quality without requiring wearable devices. The goal was to deliver an effortless bedside experience powered by advanced sleep analysis while keeping users engaged through personalized recommendations and wellness features. The key challenge was to accurately analyze sleep patterns using non-contact technology while transforming complex sleep data into meaningful insights that encourage healthier sleep habits. ◆ Approach & Solution We developed a comprehensive sleep wellness platform that combines intelligent sleep tracking, personalized coaching, and relaxation tools into a seamless mobile experience. Leveraging advanced sleep analytics, the platform monitors nightly sleep patterns, identifies areas for improvement, and delivers customized recommendations to help users build healthier sleep routines. The experience is designed to be intuitive, data-driven, and accessible without the need for wearable hardware. ◆ Key Focus Areas ‣ Non-contact sleep tracking and monitoring ‣ Personalized sleep insights and improvement plans ‣ Sleep cycle analysis and performance visualization ‣ Smart alarms and customized wake-up experience ‣ Relaxation content including sleep sounds and guided routines ‣ Long-term sleep habit tracking and wellness analytics ◆ Execution ‣ Designed and developed a user-centric mobile application focused on effortless nightly tracking ‣ Built scalable backend services for sleep data processing, synchronization, and analytics ‣ Implemented intelligent recommendation systems based on individual sleep behavior and trends ‣ Integrated notification systems for smart alarms, reminders, and personalized coaching ‣ Optimized application performance, security, and cloud infrastructure to support a growing user base ◆ Outcome & Impact SleepScore delivers an intuitive and science-driven sleep improvement experience, enabling users to better understand their sleep and build healthier nightly routines. ‣ Enhanced user engagement through personalized sleep recommendations ‣ Improved awareness with easy-to-understand sleep analytics and visualizations ‣ Increased long-term retention through habit-building features and wellness coaching ‣ Established a scalable foundation for future AI-powered sleep and health integrations
0
51