[19] - Prompt AI

PromptAI
Edit & Save Optimized Prompts
Incorrect Math Answer
Correct Math Output using PromptAI Optimized Prompt
Low Quality Summary
High Quality Summary using PromptAI Optimized Prompt
Low Quality Essay
High Quality Essay using PromptAI Optimized Prompt
Low Quality Translation
High Quality Translation using PromptAI Optimized Prompt
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Inspiration

Inspired by the research in 'Optimization by PROmpting (OPRO),' Prompt AI was developed to harness the potential of large language models (LLMs) and redefine how users interact with AI systems. The goal was to empower users to effortlessly optimize their prompts for more accurate and insightful responses.

What it does

Prompt AI is a Google Chrome extension that identifies the type of question asked (e.g., math, essay) and utilizes advanced techniques to reword and prepend prompts with tested phrases. This optimization process ensures users receive the most precise and relevant responses from AI language models like GPT.

How we built it

Prompt AI was built using a tech stack that includes GitHub for version control, Python and JavaScript for backend and frontend development, Chakra UI and Tailwind CSS for the user interface, Flask for the backend server, SQL and SQLite for data management, React for frontend components, Render for hosting, Postman for API testing, Docker for containerization, and the GPT model for natural language understanding.

Challenges we ran into

Some challenges we ran into included optimizing the interaction between the frontend and backend, implementing the AI model integration seamlessly, ensuring prompt identification accuracy, and managing and optimizing the extension's performance.

Accomplishments that we're proud of

We successfully incorporated a wide range of cutting-edge technologies into Prompt AI. From harnessing the power of Chakra UI and Tailwind CSS for an elegant and responsive user interface to mastering Docker for efficient containerization, our team excelled in adopting and integrating these technologies effectively.

We prioritized user-friendliness, ensuring that even those new to AI technologies can utilize Prompt AI effortlessly. This achievement reflects our commitment to accessible and user-centric design.

What we learned

Developing Prompt AI exposed us to a diverse range of technologies. We learned how to adapt quickly, mastering tools like Docker for containerization and Chakra UI for frontend design. This adaptability has made us more versatile developers. We learned how to prioritize the user experience, ensuring that our extension is not only functional but also intuitive for a wide range of users. We gained insights into optimizing the interaction between unfamiliar technologies for frontend and backend systems. This knowledge allows us to build more efficient and responsive applications in the future.

What's next for Prompt AI

In the future, Prompt AI aims to expand its capabilities further. We plan to enhance the prompt optimization process, support additional AI models, and integrate with various text-based applications. We're also exploring opportunities to provide users with insights into prompt optimization strategies, making the tool even more powerful and user-friendly.