Eduinsight

Project Overview
EduInsight is an AI-powered consumer platform developed by CliqPack to help families in Australia make informed decisions about schools and housing simultaneously. Traditionally, families faced fragmented data sources—school performance metrics and real estate listings existed independently, forcing users to manually compare information. EduInsight bridges this gap by integrating educational and property data into a single, intelligent platform, providing personalized recommendations tailored to each family’s needs. The platform is designed to be scalable, responsive, and capable of supporting both individual users and institutional partners.

Key Metrics
The platform processes thousands of school and property records in real time, leveraging national datasets like MySchool for academic performance and live real estate APIs such as REAXML for housing listings. The AI recommendation engine evaluates multiple factors, including academic performance, proximity, family preferences, and property features, delivering actionable insights to users within seconds. Early user testing indicated a reduction of research time by up to 60% for families searching for schools and homes simultaneously.

Project Scope
The project encompassed full-stack web development, data aggregation, AI integration, and user interface design. Specific deliverables included:

• Aggregation and normalization of national school performance data.
• Integration of live real estate listings through standardized APIs.
• Development of a custom AI-driven recommendation engine.
• Creation of a mobile-responsive, intuitive UI/UX for both desktop and mobile users.
• Implementation of analytics dashboards for monitoring usage and recommendation accuracy.
• The platform needed to support a scalable architecture to handle growth in both data volume and user traffic while ensuring low latency and high availability.

Project Workflow
The development workflow began with detailed data analysis and mapping, identifying how school and property data could be merged without compromising accuracy or performance. Backend architecture was designed using a modular approach, with separate services handling data ingestion, normalization, recommendation logic, and API interactions. AI models were trained on historical school and housing datasets to produce personalized suggestions based on user preferences, location, and performance priorities. The frontend interface was iteratively designed and tested to ensure simplicity, enabling users to compare schools and properties side by side. Continuous integration and deployment pipelines were established for smooth updates, and real-time analytics dashboards were implemented for monitoring system health, recommendation accuracy, and user engagement.

Project Challenges
Key challenges included dealing with heterogeneous data sources, inconsistent school reporting formats, and real-time updates from property APIs. Normalizing and standardizing national school performance data required sophisticated ETL pipelines, while ensuring that AI recommendations remained relevant as property listings changed frequently. Additionally, creating an intuitive user interface that could communicate complex recommendation data without overwhelming families required extensive UX testing and iterative design adjustments. Ensuring system scalability while maintaining fast response times for AI-driven recommendations was another technical hurdle.

Results
EduInsight successfully unified school and real estate data into a single, actionable platform. The AI recommendation engine provided highly personalized suggestions, enabling families to identify optimal school-property combinations quickly. Families experienced a significant reduction in research time, and the platform’s analytical dashboards offered insights into user behavior and recommendation effectiveness. Data normalization and integration pipelines improved information accuracy by over 90%, while real-time API connections ensured that property listings remained current. System architecture allowed for seamless scalability, supporting both individual family users and potential B2B partnerships with relocation agencies and educational consultants.

Final Output
The final output is a fully integrated, scalable web platform that combines national school performance data and live real estate listings into an AI-driven decision-making tool. The platform’s modular backend, AI recommendation engine, and responsive frontend interface provide families with a streamlined, efficient, and data-driven way to make one of the most critical relocation decisions. By centralizing these previously disconnected datasets, EduInsight delivers a high-value solution that enhances decision confidence, reduces manual research effort, and positions CliqPack as a leader in AI-driven consumer platforms.

According to the CliqPack Product Development Team, “EduInsight puts smart school and housing choices in one place—it’s a game changer for relocating families