An AI-powered personal study planner with multi-agent pipeline, input guardrails, live web research, and automatic summarization — built with OpenAI Agents SDK and Chainlit for an intelligent, deadline-driven learning experience

Students often struggle to convert broad learning goals into structured plans with realistic deadlines, reliable research, and concise summaries.
Built a Chainlit-based study assistant powered by OpenAI Agents SDK and Gemini to collect study goals, validate inputs, research live resources, summarize findings, and produce an actionable learning plan.
Converts learning goals and deadlines into structured study plans.
Uses live web research to gather relevant learning resources.
Summarizes research findings into concise, actionable study guidance.
Created a deadline-driven study planning workflow for learners.
Added input guardrails to keep study goals clear and actionable.
Integrated live web research and automatic summarization into the planning pipeline.