
Developed a real-time sentiment analysis dashboard for Malaysian social media and reviews within the drshahizan/HPDP repository, focusing on delivering immediate insights for data-driven decision-making. The solution integrated Supabase for live data retrieval and leveraged Next.js and React to build a responsive, maintainable frontend. Tailwind CSS was used to ensure a dynamic and accessible user interface, while TypeScript and JavaScript supported robust data visualization and real-time data handling. The dashboard visualized key metrics, sentiment trends, and recent analysis results, aligning with HPDP’s analytics objectives. No major bugs were reported, reflecting a stable feature integration and a streamlined development process.
July 2025 monthly summary for drshahizan/HPDP: Delivered a Real-time sentiment analysis dashboard for Malaysian social media and reviews. The feature fetches data from Supabase and presents metrics, sentiment trends, and recent analysis results in a responsive UI built with Next.js and Tailwind CSS. This enables immediate insight into customer sentiment, supporting data-driven decisions and faster response times. No major bugs reported this month; feature integration aligns with HPDP's analytics goals and existing workflow.
July 2025 monthly summary for drshahizan/HPDP: Delivered a Real-time sentiment analysis dashboard for Malaysian social media and reviews. The feature fetches data from Supabase and presents metrics, sentiment trends, and recent analysis results in a responsive UI built with Next.js and Tailwind CSS. This enables immediate insight into customer sentiment, supporting data-driven decisions and faster response times. No major bugs reported this month; feature integration aligns with HPDP's analytics goals and existing workflow.

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