GPT-based AI Tools

In this project, I developed two GPT-based applications: "Art Creation Muse" and "Resume Editor". These tools are dedicated to stimulating artistic creation and optimizing resume editing, respectively. By leveraging OpenAI's advanced language models, they assist users in creative pursuits and career development, demonstrating the practical value of artificial intelligence in everyday life and professional planning.

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Art Creation Muse

Feature Introduction

"Art Creation Muse" is an artistic creation aid tool that provides creative inspiration in a conversational format, supporting various artistic styles and themes. Users can receive auto-generated creative ideas and suggestions by entering simple prompts or questions, breaking through creative blockages.

Technical Implementation

  • Model Basis: Utilizes OpenAI's GPT-4 to generate text with artistic styles.

  • User Interface: Offers a straightforward web interface where users can input their requirements and style preferences, and receive creative outputs instantly.

  • Customized Improvements: Continuously trains the model and optimizes the interface based on user feedback to ensure the quality and practicality of the service.

Project Effectiveness

  • User Feedback: A broad user base has indicated that the tool effectively supports their creative activities, especially in finding new ideas and inspiration.

  • Demonstration Link: Art Creation Muse

Resume Editor

Feature Introduction

"Resume Editor" is a resume editing tool that uses the GPT model to offer content suggestions and format optimizations. The tool analyzes users' resume drafts and proposes improvements, helping them enhance the professionalism and overall appeal of their resumes.

Technical Implementation

  • Model Application: Employs GPT-4 for textual analysis and editing suggestions, customized for the demands of different industries and positions.

  • Real-time Editing: Users can see real-time editing suggestions and choose to accept or modify them, enhancing the competitiveness of their resumes.

  • Feedback Loop: Optimizes the model based on actual user feedback to improve the relevance and accuracy of the suggestions.

Project Effectiveness

  • User Achievements: Many users report that the optimized resumes have increased their chances of getting more interview calls.

  • Demonstration Link: Resume Editor

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