Stanford CS 224G Demo Day and Poster Session
Stanford's CS 224G class is a project class in the CS department that explores the practical aspects of building using large language models. Students form into teams and spend the entire quarter working on real-world projects that use LLMs at their core. They work in startup-style sprints and build real, functional products.
Come to see the results of their hard work! Each student group will give a lightning talk, followed by a poster session where you can see a demo and interact with the teams directly.
Projects you will see and hear about:
An AI-powered user research platform that automates qualitative interviews by using real-time voice APIs to conduct studies and synthesize findings.
An end-to-end discovery tool for research conferences that turns one-off events into lasting connections by matching researchers based on shared interests.
An LLM-powered expert interview assistant that automates expert vetting calls and provides real-time guidance to junior consultants during expert interviews.
A voice-enabled AI companion that translates complex clinical trial consent documents into plain-language conversations, helping patients understand what they’re signing before enrolling in trials.
An AI-powered dashboard that transforms voice-captured tasks, technical concepts, and news feeds into interactive, habit-forming "Sticky Notes" with automated recall and summarization.
An AI agent that quickly turns software tickets into deployed code to reduce engineering overhead and meet your production needs.
An autonomous SRE agent that combines deterministic causal graphs (from OpenTelemetry) with code-aware reasoning to isolate root causes and (as a stretch goal) proactively audit alert quality.
An AI task-orchestration interface that turns messy real-world signals into prioritized work items and routes them to agents or humans with explicit decision checkpoints and feedback-driven improvement.
A personalized tutor and novel homework system for American school systems that prioritizes safety, critical thinking development, and individualized attention.
An AI-powered course assistant that translates uploaded course materials into a conversational interface, providing students with actionable answers and cited sources.
An AI-native insurance carrier. Full transparency + cheaper insurance achieved by leaner organization
A personalized AI career coach that learns about you and matches you with actionable career strategies, role navigation, and prioritized learning paths.
A platform that uses large language models to help users’ decision making and probabilistic reasoning in prediction market opportunities, including contract details, market history, and potential market inefficiencies.
An AI-powered infrastructure management system with automated telemetry monitoring and threat hunting.
A unified campus social feed with permissioned communities and an access-aware AI copilot that summarizes and answers questions with citations, across labs, classes, and clubs.
An agentic voice assistant that navigates Japanese telephone etiquette to autonomously place restaurant reservations for non-Japanese speakers.
A structured diagram generation system that enables precise natural language and voice-based refinement of dynamic diagrams for various use cases.
An LLM-powered course management system to facilitate learning for students and teaching for educators.
An automated red-teaming platform that systematically evaluates healthcare LLMs for safety failures, hallucinations, and regulatory compliance violations before deployment.
Most accurate & comprehensive AI using an ensemble of LLMs.