diff --git a/frontend/src/pages/AIInterviewAnswerMissingContextDetector.jsx b/frontend/src/pages/AIInterviewAnswerMissingContextDetector.jsx new file mode 100644 index 00000000..17739b8e --- /dev/null +++ b/frontend/src/pages/AIInterviewAnswerMissingContextDetector.jsx @@ -0,0 +1,203 @@ +import React, { useState } from "react"; +import { + Brain, + Target, + AlertTriangle, + CheckCircle2, +} from "lucide-react"; + +const contextItems = [ + ["Requirements", "Covered"], + ["Constraints", "Missing"], + ["Environment", "Partial"], + ["Assumptions", "Missing"], + ["Use Case", "Covered"], +]; + +export default function AIInterviewAnswerMissingContextDetector() { + const [answer, setAnswer] = useState(""); + const [analyzed, setAnalyzed] = useState(false); + + return ( +
+ Find important context missing from your interview answer. +
++ Interview Question +
+ ++ Context Completeness +
+ ++ 72% +
+ ++ Your answer is technically relevant but missing important + contextual details. +
+ ++ Before presenting the architecture, clarify scale, + performance targets, consistency requirements, and workload + characteristics. This will make your solution more precise + and easier for an interviewer to evaluate. +
+ +