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What does it take to go from learning AI… to launching a real, public-facing product? Meet Aayan, an Advanced Batch student, who successfully built and deployed a financial AI app featuring a functional market chatbot, a clean UI, and real sentiment-based insights — designed for both beginners and active traders. 🚀 What Aayan Built: A live financial chatbot that answers market-related queries A polished UI designed for clarity and usability Market sentiment scoring (avg. +0.3) to reflect overall mood Variable data depth so users can choose simple or detailed insights 🧠 What Made This an Advanced Project: Public deployment (not just a demo) Real debugging challenges inside the IDE Adapting fast when tools broke Designing for real users, not just grades 🔮 What’s Coming Next: Personalized AI-driven financial recommendations 50+ financial and behavioral metrics Higher engagement and user trust signals Both parents and mentors validated the project as user-ready — highlighting its uniqueness for day traders and first-time investors alike. This is what advanced AI learning looks like when students stop experimenting… and start shipping real products. #StudentInnovation#AdvancedBatch#bettermindlabs #AIProjects #FinTechAI #FinancialChatbot #BuildInPublic #HighSchoolDevelopers #MachineLearning #AIStudents #FutureBuilders #EdTech #AIProduct #TechEducation #NextGenInnovators