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Adarsh-Singh-Chauhan/PREPIQ

PrepIQ is a full-stack AI-powered career preparation platform for students. It combines mock interviews, performance analytics, career objective setting, personalised roadmaps, face-based identity, certificate validation, internship matching, smart scheduling, and a 24/7 AI coaching chatbot — all in one product.

TypeScript GitHub ↗ site ↗
★ 0
stars
70
AI relevance
65
solo dev
0
tool sigs

SUMMARY AI summary by gpt-5-mini

PrepIQは学生向けのキャリア準備を支援するフルスタックAIプラットフォームです。模擬面接や成績解析、目標設定に基づく個別ロードマップ、顔認証によるログインと証明書のOCR検証、インターン候補のスキルマッチング、弱点に基づくスマート時間割、および24時間稼働するコンテキスト対応のAIコーチを一体化しています。 主な機能は、リアルタイム映像のAI模擬面接(感情検出・自信スコア)、詳細なスコアカードとレーダーチャートによるパフォーマンス解析、AIによる厳格採点、OCRベースの証明書検証、スキル比率でのインターンマッチング、顔のライブネス検出を備えたフェイスログインです。デモモードでアカウント不要の試用が可能です。 技術スタックは Next.js 14(App Router)、Tailwind、Supabase(DB/Auth/Storage/Edge Functions)、Gemini 1.5 Pro、face-api.js、Tesseract.js など。Supabase連携や行レベルセキュリティの運用対応、メールでのPDFスコア送信機能の修正などが済んでおり、Vercelへのデプロイ準備が整っています。ライセンスはMITです。

DETECTED Detected AI stack

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.

🧠 LLM providers (1)
Gemini
🤖 LLM models (1)
Gemini
💾 Databases (1)
Supabase
🌐 Web frameworks (1)
Next.js
☁️ Cloud platforms (1)
Vercel

GitHub Topics

#ai-agents #machine-learning #nextjs #nodejs #prep #supabase #tailwindcss

Language breakdown (by bytes)

CSS
2.9%
Batchfile
0.6%
JavaScript
0.2%
TypeScript
96.4%

Owner

Account
Adarsh-Singh-Chauhan
Type
User
Followers
1

Dates

Created on GitHub 2026-05-06
Last push 2026-05-09
First seen here 2026-05-09
Last fetched 2026-05-09 18:16

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