video1.0<iframe src="https://www.loom.com/embed/c7f942a104f347e1b10b5ff1324a33a0" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/c7f942a104f347e1b10b5ff1324a33a0-0efdfd8e61acaef7.gif774.63In this video, I present a live demo of my upskilling application built using Next.js, Postgres SQL, and Express, featuring AI functionalities with the Gemini API for cost optimization. The app, which took around eight hours to develop, offers users personalized alerts based on their preferences and allows for community verification of alerts. I utilized synthetic data for performance stability and implemented a clear separation between the frontend and backend. I encourage viewers to explore the app's features and provide feedback, especially regarding the AI integration and user experience.