Problem: Students & professors struggle with managing advising appointments.

Solution: Built this platform to connect students with advisors, automate email notifications, and simplify getting meeting notes to students

Impact: Reduced scheduling time, number of missed sessions, and made meetings easy to manage.

Problem: Blind and low-vision museum visitors lack detailed artwork descriptions to engage with visual art.

Solution: Together with my professor we developed a web application using fine-tuned LLaMA models to generate rich, contextual artwork descriptions for museums.

Impact: Presented at AI Symposium 2025, demonstrating improvement in description quality over standard models.

Problem: Individual investors lack sophisticated portfolio risk analysis tools used by professional fund managers.

Solution: Created AI agent analyzing portfolios using ML models to assess risk levels and provide diversification recommendations.

Impact: Processes portfolio analysis in under 30 seconds, identifying hidden risk concentrations with 85% accuracy.

Problem: Colleges and IT support centers lack fine-tuned AI systems to handle common IT support queries, leading to high ticket volumes and slow response times.

Solution: Built NLP-powered chatbot using fine-tuned LlaMA to provide answers to common questions encountered at IT support centers at college settings

Impact: Allows for easy access to IT support, reducing ticket volume and improving response times for common issues.