AI-Driven Resume Customization Tool

1. Reasons for Recommendation and Brief Description

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2. Market Analysis

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3. User Experience Map and User Journey Map

1.Goal Setting - Users select positions and companies, input keywords, and the AI captures job descriptions, company cultures, and industry standards.

Phase 2Resume Generation - Based on the user's basic resume, the AI model matches and generates optimized content, including keyword enhancement and skill matching suggestions.

Phase 3Resume Optimization Feedback - Users adjust the generated resume through simple interactions and see real-time AI optimization suggestions.

Phase 4Resume Output - The resume can be downloaded or exported in various formats, along with interview preparation tips.

4. Monetization Model Design

Subscription services: A fixed number of resume generations per month or unlimited for premium members. One-time payment: Generate resumes for specific positions on a per-use basis. Additional services: Resume evaluation, interview skills coaching, etc.

5. User Incentive Mechanism Design

By providing a 'match score' after each resume optimization, users see their competitiveness for specific positions, motivating further improvements. The tool also offers a 'success case library' to showcase interview success rates of similar-background users.

6. Potential Risk Assessment

Technical challenges: The AI algorithm needs to accurately analyze job descriptions and company cultures for a good match.