在求職的路上,我發現一個普遍的痛點:資訊混亂與管理不易。從投遞履歷、追蹤面試進度,到最終獲得錄取,這整個過程充滿了不確定性。許多人依賴 Excel 表格或手寫筆記,但這些傳統方式不僅效率低,也難以提供全面性的數據分析。我開始思考,有沒有一種工具,能將這個複雜的流程系統化、視覺化,並且透過人工智慧的力量,為求職者提供更深度的洞見與支援?
因此,為了將這個想法的具體化,我開發一款「AI 職涯追蹤平台」。它不僅僅是一個待辦清單,更是一個專為求職者設計的智能助理。
這個平台的核心在於解決資訊不透明與效率低落的問題。設計了兩大核心功能來實現這個目標:
使用者介面與核心功能:
AI 賦能的特色功能:
平台的 MVP 是以 Lovable 進行前端開發,由於為了更精準達成開發需求,我先以英文撰寫我的需求,再使用 GenAI 進行修改。
Please build a comprehensive job application tracker platform with the following core features:
1. User Interface & Core Functions
- Career Dashboard: A dashboard to visualize the entire job application journey from initial application to receiving an offer. It should include data visualizations such as a job funnel chart and a Sankey diagram to illustrate the application flow and success rate.
- Application List: A dedicated list to meticulously track the status of each job application, including key details like company, role, date applied, and current stage.
2. AI-Powered Features
- AI Resume & Job Description Matcher: This function allows users to upload a resume and paste a job description. The AI should analyze both documents to provide a matching score and generate a concise summary of key alignments and potential gaps.
- AI Career Consultant: An interactive chatbot that provides conversational support for career-related queries, including resume reviews and career path advice.
3. Technical Requirements
- LLM Model Integration: All AI agents within the platform must be capable of connecting to different Large Language Models (LLMs). The user should only need to input their personal API key to enable and utilize these features.
透過與 AI 協作開發,雖然只是一個前端框架,未來可以持續優化及串接後端資料庫,希望它能幫助更多求職者,從混亂中找到秩序,用數據和智慧的力量,踏出邁向理想職涯的每一步。