Development of Connext AI-Powered Networking App

​Connext is an AI-powered mobile application designed to enhance professional networking at events. It assists users in discovering relevant events, suggesting potential connections, and managing event details seamlessly. The app streamlines the networking process by offering features such as event creation, reservation management, and real-time chat with attendees.

While the specific technologies used in Connext's development are not detailed in the available sources, similar AI-powered event networking applications typically employ the following stack:​

Design & Prototyping: Tools like Figma and Adobe XD are commonly used for creating interactive prototypes and UI designs.​

Frontend Development: Frameworks such as React Native or Flutter enable cross-platform mobile app development, ensuring consistent performance on both iOS and Android devices.​

Backend Development: Node.js or Python (with frameworks like Django or Flask) are often utilized to build scalable backend services.​

AI & Machine Learning: Integration of AI services like OpenAI's GPT models or Google's Dialogflow can enhance features such as intelligent matchmaking and personalized recommendations.​

Cloud Services: Platforms like AWS or Google Cloud provide the necessary infrastructure for hosting, data storage, and AI model deployment.

The development of Connext likely followed a structured design and development process:​

User Research: Conducted interviews and surveys to identify user needs and preferences in event networking scenarios.​

Wireframing & Prototyping: Developed low-fidelity wireframes to map out the user journey, followed by high-fidelity prototypes to visualize the final design.​

User Testing: Tested prototypes with target users to gather feedback, leading to iterative improvements in the UI/UX design.​

Development: Implemented the design using appropriate frontend and backend technologies, integrating AI features for enhanced functionality.​

Deployment & Feedback: Launched the application and collected user feedback to inform future updates and feature enhancements.​