A full-stack tool that turns a goal, tone, and a few lines of context into a ready-to-send professional email draft using an LLM.
Writing professional emails for different tones, goals, and audiences is repetitive and time-consuming, especially for students and early professionals still building written-communication skills.
A React frontend collects the sender's goal, tone, and context, sends it to a FastAPI backend that constructs a structured prompt for an LLM, and returns a ready-to-use email draft.
React frontend for prompt input and generated-output display; a FastAPI backend that builds structured prompts, calls the LLM API, and formats the response for the client.
Getting a consistent, professional tone out of LLM responses across very different user inputs.
Replaced a single free-text box with structured prompt fields (goal + tone + context), constraining the model toward consistent output quality.
Deployed and live at ai-email-generator-ten-ruby.vercel.app as a working demonstration of applied prompt engineering plus full-stack LLM integration.
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