Case Study

The Self Wish App

The Self Wish project is a complete digital platform where people can discover events, connect with others, chat in real time, and book golf training sessions with secure payments. The main goal was to create one smooth and simple experience for users from sign-up to activity participation.

Self Wish was created to bring social connection and golf learning into one simple journey. Users can join easily, explore events, take part in activities, chat with people, vote in polls, receive updates, and book training sessions without confusion. Every key flow was designed to feel clear, quick, and user-friendly.

The Self Wish App

Project Type

University Website Portal, University CRM, Custom Web Portal

Industry

Education, University, Higher Education

Technology

Angular, Laravel, Bootstrap, MySQL, CSS

Top Rated by Clients

The Challenge

The Challenge

Selfwish required a unified social engagement platform that could seamlessly connect user onboarding, event participation, communication, training bookings, and payments within a single ecosystem. The challenge was to create an intuitive and scalable solution that delivered a smooth user experience while encouraging community engagement, collaboration, and long-term platform adoption.


Seamless User Onboarding

Creating a fast and frictionless registration experience through OTP verification, social logins, and Apple Sign-In while keeping profile setup simple and accessible for first-time users.


Event Discovery & Participation

Building an intuitive event management experience that allows users to easily discover events, apply filters, view detailed information, and participate through a streamlined request-to-join workflow.


Communication, Community Engagement & Training

Providing integrated one-to-one and group messaging capabilities, interactive polls, and engagement features while enabling users to view training availability, reserve sessions, track booking progress, and receive clear status updates.


Notifications, Payments & Platform Scalability

Delivering timely notifications for important actions and updates while implementing secure payment processing, refund management, and a scalable architecture capable of supporting growing user activity and future platform enhancements.

The Solution

The Solution

AHA Technocrats developed a custom Social Engagement & Training Platform designed to simplify user interactions, community participation, event management, and training bookings within a unified digital ecosystem. The solution enables users to connect, communicate, participate in events, book training sessions, and manage payments through a seamless and intuitive experience.

Selfwish Timeline
The Results

The Results

The completed platform provided Selfwish with a scalable foundation for delivering social engagement, event participation, training management, and secure transactions through a unified digital experience. By connecting multiple user interactions within a single ecosystem, the solution improved engagement, user satisfaction, and long-term platform scalability.

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Unified User Experience

Established a connected platform where events, chats, training sessions, and payments operate seamlessly within a single user journey, creating a more consistent and engaging experience.


Increased User Engagement

Enabled users to participate more actively through events, group discussions, one-to-one messaging, and interactive polls, fostering stronger community engagement and platform activity.


Improved Booking Efficiency

Simplified the training booking process, making it easier for users to discover available sessions, schedule appointments, track progress, and complete bookings with confidence.


Enhanced Trust, Efficiency & Scalability

Provided secure payment processing and refund management workflows while reducing friction across onboarding, event participation, communication, and booking journeys. The scalable architecture supports growing user activity, higher traffic volumes, and future platform enhancements without compromising performance.

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