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I'll replace the workspace contents with what's in their zip file and handle the dependency installation, though I'm noting that their backend is Python FastAPI which I should keep intact. The tricky part is the preview setup: the frontend runs on port 3000 and the backend on 8000, but since NEXT_PUBLIC_API_BASE_URL is client-side, the user's browser can't reach localhost:8000 from the preview. I'll set up a Next.js rewrite/proxy layer so the frontend routes API calls through itself to the backend running in the same VM—that way the preview works for the user without needing environment-specific configuration changes. Now for the scope: the user wants all 100+ features and a redesigned UI, but that's unrealistic for a hackathon. They've highlighted a Top 10 list, so I'll focus on building those high-impact features while redesigning the UI and getting the base project working with their API keys. The key features I can add are mostly AI-powered endpoints on the backend — skill gap analysis, career suggestions, learning roadmaps, interview prep, profile strength scoring — plus new frontend pages for career intelligence, insights dashboards with radar charts, and knowledge graph visualization. My approach: get the base project running first, then tackle the design system overhaul, revamp the dashboard UI, build out the career intelligence backend endpoints, create the new frontend pages, and verify everything works in the browser. Starting by importing the user's project files into the workspace. I'll remove the existing app, components, lib, and config directories, then copy everything from their extracted project. Since the base project uses Next 15.1.11 and they have their own package.json, I'll do a fresh install with pnpm. For the backend, I'll set up a Python virtual environment, install dependencies from requirements.txt, and make sure the .env files with API keys are in place before running the backend on port 8000 and the frontend dev server.45:o94c,115:T42b,The app is working and the login page is functional though basic. I could create a test account through Firebase to verify the dashboard, but I'll hold off on that for now. Moving forward, I need to build out a proper marketing landing page at the root path with hero section, features, and calls-to-action that shows for logged-out users while redirecting authenticated users to the dashboard. After that comes polishing the login and signup flows with a split layout design, then diving into the dashboard itself to enhance the existing pages. I'm planning backend career endpoints that leverage the existing provider chain and Firestore data to calculate skill gaps, learning roadmaps, interview prep, and profile strength metrics. The frontend will need a corresponding career page with insights and a radar chart visualization. Let me start by examining the current dashboard structure—the page and layout files, sidebar, topbar, analytics, chat, and generation features—along with the backend routes and provider setup to understand what I'm working with.116:T505,Now I'm mapping out the next steps: building a proper landing page at the root with a hero section using the mosaic-tile design, a features grid, how-it-works section, and call-to-action, while keeping the existing design system with limestone, ink, and gold colors. For signed-in users, I'll show an "Open Dashboard" button instead. I'm also starting on the backend career endpoints by creating a new route file to handle POST requests. I need to split the career insights into separate endpoints: one for skill gap analysis and recommendations with a learning roadmap, another for generating interview questions, and a GET endpoint for the profile strength score with its breakdown. I'll add the necessary schemas and register the router in the main app file. On the frontend, I'm planning a career page at `/dashboard/career` with a target role input field, tabs for different sections (Skill Gap, Roadmap, Interview Prep, Profile Strength), and a radar chart using recharts to visualize skill categories. I should also add a navigation item for this page, update the dashboard with a stats row showing totals and recent activity, and add metadata to the landing page. Let me check the existing schemas and router setup to understand how to integrate these new endpoints properly.117:T4352,45:o4352,[V0_FILE]typescriptreact:file="/app/dashboard/career/page.tsx" "use client"; import { useState } from "react"; import { Compass, LoaderCircle, Sparkles, CheckCircle2, CircleDashed, CircleAlert, Lightbulb, MessageSquare, Gauge, } from "lucide-react"; import { ResponsiveContainer, RadarChart, PolarGrid, PolarAngleAxis, PolarRadiusAxis, Radar, Tooltip, } from "recharts"; import { Topbar } from "@/components/topbar"; import { Button } from "@/components/ui/button"; import { Input } from "@/components/ui/input"; import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card"; import { Tabs, TabsList, TabsTrigger, TabsContent } from "@/components/ui/tabs"; import { api, ApiError, type CareerAnalysis, type InterviewPrep, type ProfileStrength } from "@/lib/api"; import { cn } from "@/lib/utils"; export default function CareerPage() { return ( <>

Skill Gap & Roadmap Interview Prep Profile Strength

); } /* ------------------------------------------------------------------ */ /* Shared bits */ /* ------------------------------------------------------------------ */ function ErrorBanner({ message }: { message: string }) { return (

{message}

); } function RoleForm({ role, setRole, onSubmit, loading, hasResult, placeholder, }: { role: string; setRole: (v: string) => void; onSubmit: () => void; loading: boolean; hasResult: boolean; placeholder: string; }) { return ( ); } function ScoreRing({ score, label }: { score: number; label: string }) { const clamped = Math.max(0, Math.min(100, score)); const color = clamped >= 70 ? "hsl(var(--tile-teal))" : clamped >= 40 ? "hsl(var(--gold))" : "hsl(var(--tile-coral))"; const r = 42; const circumference = 2 * Math.PI * r; return (

{clamped}

{label}

); } /* ------------------------------------------------------------------ */ /* Skill gap + roadmap */ /* ------------------------------------------------------------------ */ const GAP_STYLE: Record = { have: { icon: CheckCircle2, text: "text-tile-teal", label: "Have" }, partial: { icon: CircleDashed, text: "text-gold", label: "Partial" }, missing: { icon: CircleAlert, text: "text-tile-coral", label: "Missing" }, }; function AnalysisPanel() { const [role, setRole] = useState(""); const [data, setData] = useState(null); const [loading, setLoading] = useState(false); const [error, setError] = useState(null); const run = async () => { setLoading(true); setError(null); try { setData(await api.careerAnalysis(role)); } catch (err) { setError(err instanceof ApiError ? err.message : "Couldn't run the analysis right now"); } finally { setLoading(false); } }; return (

Name a target role and the AI compares it against everything you've uploaded — an honest skill gap plus a concrete roadmap to close it.

{error && } {data && (

{data.readiness_summary}

{data.suggested_roles.length > 0 && (

Also fits: {data.suggested_roles.map((r) => ( {r} ))}

)}

Skill gap {data.skill_gaps.map((gap) => { const style = GAP_STYLE[gap.status] ?? GAP_STYLE.partial; const Icon = style.icon; return (

{gap.skill}{" "} · {style.label}

{gap.note}

); })} Learning roadmap

{step.order}

{step.title}

{step.description}

→ {step.resource}

{data.strengths.length > 0 && ( Your strengths {data.strengths.map((s) => ( {s} ))} )}

)} {!data && !loading && !error && }

); } /* ------------------------------------------------------------------ */ /* Interview prep */ /* ------------------------------------------------------------------ */ const Q_CATEGORY_STYLE: Record = { technical: "bg-tile-violet/10 text-tile-violet ring-tile-violet/30", project: "bg-tile-teal/10 text-tile-teal ring-tile-teal/30", behavioral: "bg-tile-amber/10 text-tile-amber ring-tile-amber/30", }; function InterviewPanel() { const [role, setRole] = useState(""); const [data, setData] = useState(null); const [loading, setLoading] = useState(false); const [error, setError] = useState(null); const run = async () => { setLoading(true); setError(null); try { setData(await api.interviewPrep(role)); } catch (err) { setError(err instanceof ApiError ? err.message : "Couldn't prepare questions right now"); } finally { setLoading(false); } }; return (

Questions an interviewer would actually ask you — grounded in your real projects, internships, and certifications, with hints for strong answers.

{error && } {data && (

{data.tips.length > 0 && ( Coach's tips {data.tips.map((tip, i) => (

{tip}

))} )}

{data.questions.map((q, i) => (

{q.question}

{q.category}

Strong answer: {q.hint}

))}

)} {!data && !loading && !error && ( )}

); } /* ------------------------------------------------------------------ */ /* Profile strength */ /* ------------------------------------------------------------------ */ function StrengthPanel() { const [data, setData] = useState(null); const [loading, setLoading] = useState(false); const [error, setError] = useState(null); const run = async () => { setLoading(true); setError(null); try { setData(await api.profileStrength()); } catch (err) { setError(err instanceof ApiError ? err.message : "Couldn't audit your profile right now"); } finally { setLoading(false); } }; return (

An honest AI audit of your whole profile — a strength score across six dimensions and the quickest wins to improve it.

{error && } {data && (

{data.summary}

Skill radar {data.quick_wins.length > 0 && ( Quick wins {data.quick_wins.map((win, i) => (

{win}

))} )}

)} {!data && !loading && !error && }

); } function EmptyHint({ icon: Icon, text }: { icon: typeof Compass; text: string }) { return (

{text}

); }45:oa,118:T4352,45:o4352,[V0_FILE]typescriptreact:file="/app/dashboard/career/page.tsx" "use client"; import { useState } from "react"; import { Compass, LoaderCircle, Sparkles, CheckCircle2, CircleDashed, CircleAlert, Lightbulb, MessageSquare, Gauge, } from "lucide-react"; import { ResponsiveContainer, RadarChart, PolarGrid, PolarAngleAxis, PolarRadiusAxis, Radar, Tooltip, } from "recharts"; import { Topbar } from "@/components/topbar"; import { Button } from "@/components/ui/button"; import { Input } from "@/components/ui/input"; import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card"; import { Tabs, TabsList, TabsTrigger, TabsContent } from "@/components/ui/tabs"; import { api, ApiError, type CareerAnalysis, type InterviewPrep, type ProfileStrength } from "@/lib/api"; import { cn } from "@/lib/utils"; export default function CareerPage() { return ( <>

Skill Gap & Roadmap Interview Prep Profile Strength

{message}

{clamped}

{label}

Name a target role and the AI compares it against everything you've uploaded — an honest skill gap plus a concrete roadmap to close it.

{error && } {data && (

{data.readiness_summary}

{data.suggested_roles.length > 0 && (

Also fits: {data.suggested_roles.map((r) => ( {r} ))}

)}

Skill gap {data.skill_gaps.map((gap) => { const style = GAP_STYLE[gap.status] ?? GAP_STYLE.partial; const Icon = style.icon; return (

{gap.skill}{" "} · {style.label}

{gap.note}

); })} Learning roadmap

{step.order}

{step.title}

{step.description}

→ {step.resource}

{data.strengths.length > 0 && ( Your strengths {data.strengths.map((s) => ( {s} ))} )}

)} {!data && !loading && !error && }

Questions an interviewer would actually ask you — grounded in your real projects, internships, and certifications, with hints for strong answers.

{error && } {data && (

{data.tips.length > 0 && ( Coach's tips {data.tips.map((tip, i) => (

{tip}

))} )}

{data.questions.map((q, i) => (

{q.question}

{q.category}

Strong answer: {q.hint}

))}

)} {!data && !loading && !error && ( )}

An honest AI audit of your whole profile — a strength score across six dimensions and the quickest wins to improve it.

{error && } {data && (

{data.summary}

Skill radar {data.quick_wins.length > 0 && ( Quick wins {data.quick_wins.map((win, i) => (

{win}

))} )}

)} {!data && !loading && !error && }

); } function EmptyHint({ icon: Icon, text }: { icon: typeof Compass; text: string }) { return (

{text}

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Includes a marketing landing page plus a dashboard app (document grid, AI chat, semantic search, timeline, analytics with charts, resume/bio generator, career insights with skill radar and knowledge graph)."},{"type":"finished-design-inspiration"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785418174799,"finishedAt":1785418175715,"lastPartSentAt":1785418175715,"taskNameActive":null,"id":"MUrLRnV4jTkZfsFM","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"I'm drawing inspiration from premium dark-mode AI products like Braintrust combined with a data visualization portfolio aesthetic, so I'll start with a dark theme and emerald or teal accents instead of purple. 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The copy command should have replaced it, so I'm wondering if something went wrong there."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785418189403,"finishedAt":1785418192429,"lastPartSentAt":1785418192023,"taskNameActive":"Checking globals css on disk","taskNameComplete":"Checked globals css on disk","toolCallId":"toolu_012gyoN9GApUWek9H4mQLyZs","agentTurnId":"turn_ybS70XQRR0feDWmu","filePath":null,"error":{"type":"HANDLED_EXECUTION_ERROR","message":"Command exited with code 127","code":"GENERIC_ERROR"},"id":"PClimBlAMQy4dvUs","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && head -50 app/globals.css && echo \"===ORIG===\" && head -50 /tmp/project_extract/hackathon-project-complete/app/globals.css && diff -q app/globals.css /tmp/project_extract/hackathon-project-complete/app/globals.css && echo SAME"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"bzi1yFzrnOepQy63"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"@tailwind base;\n@tailwind components;\n@tailwind utilities;\n\n@layer base {\n :root {\n /* Light mode — warm limestone surface, ink text */\n --surface: 42 35% 93%;\n --surface-raised: 40 40% 97%;\n --foreground: 240 15% 12%;\n --border: 40 2"},"id":"Fo59ez5RPXFFUyJh"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"0% 85%;\n --muted: 240 8% 45%;\n --gold: 38 65% 45%;\n\n /* Fixed brand tokens — same value in both modes */\n --i\n\n...\n\nfeature-settings: \"cv11\", \"ss01\";\n }\n\n h1, h2, h3, h4 {\n @apply font-display;\n\nbash: line 1: diff: command not found\n"},"id":"Ppxf5yGlHwyvPie7"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785418199690,"finishedAt":1785418205197,"lastPartSentAt":1785418205197,"taskNameActive":null,"id":"CrzYEMPiAZFhUIxG","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":5,"thought":"The disk file is correct—the earlier read was stale. 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Files"},"id":"SiDAB02KVK4dBNnx-CdkGkDuOmg7vChlU"}],["AssistantMessageContentPart",{"part":{"createdAt":1785418443442,"finishedAt":1785418445079,"lastPartSentAt":1785418445079,"taskNameActive":null,"id":"I1BRlKYdIsNL1cLx","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"I'm building out the Career page at `/dashboard/career` with a target role input field, three tabs for Skill Gap & Roadmap analysis, Interview Prep, and Profile Strength, and incorporating a radar chart to visualize the profile metrics."},{"type":"thinking-end","duration":2,"thought":"Now I'm writing the Career Intelligence page using the same patterns."}]}}],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_Vnr04N3KZMa","parts":[{"type":"code-project","isVersioned":true,"isSourceless":false,"changedFiles":[{"fileName":"/components/landing-sections.tsx","baseName":"landing-sections.tsx","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/app/page.tsx","baseName":"page.tsx","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/backend/schemas.py","baseName":"schemas.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/backend/routes/career.py","baseName":"career.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/backend/main.py","baseName":"main.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/lib/api.ts","baseName":"api.ts","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/app/dashboard/career/page.tsx","baseName":"page.tsx","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"$117","latestDeploymentInfo":"$10f:8:1","lastDeployedAt":"2026-07-30T13:35:13.733Z","sourceVersionKey":"v_1_pheox_s3","needsBlockSource":false,"isAllImages":false,"blockId":"b_Vnr04N3KZMa","meta":{"taskNameActive":"Writing career page","taskNameComplete":"Wrote career page","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Writing career page","taskNameComplete":"Wrote career page"},"id":"block-b_Vnr04N3KZMa"}],["p",{},["text",{},"Now add Career to the sidebar nav (which mobile-nav likely reuses via NAV_ITEMS — let me check):"]],["AssistantMessageContentPart",{"part":{"createdAt":1785418503403,"finishedAt":1785418506067,"lastPartSentAt":1785418505759,"taskNameActive":"Checking mobile nav","taskNameComplete":"Checked mobile nav","toolCallId":"toolu_01Bz2SLfYN9b3YYc8GaarC2J","agentTurnId":"turn_YB0s7pHzJPiEGpi2","filePath":null,"id":"JJvp68K5DykBKcf8","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && head -30 components/mobile-nav.tsx"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"JagbrLf3A9XE2pZd"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"\"use client\";\n\nimport { useState } from \"react\";\nimport Link from \"next/link\";\nimport { usePathname } from \"next/navigation\";\nimport * as Dialog from \"@radix-ui/react-dialog\";\nimport { Menu, X } from \"lucide-react\";\nimport { Button } from \"@/componen"},"id":"KYozckhSopcB1vqH"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"ts/ui/button\";\nimport { MosaicMark } from \"@/components/mosaic-mark\";\nimport { NAV_ITEMS } from \"@/components/sidebar\";\ni\n\n...\n\nsaicMark />\n \n