Inspiration
The goal of this project was to challenge and break down persistent gender stereotypes in career choices, encouraging young girls to explore professions based on their unique skills and interests rather than societal expectations. Our chatbot, Future Fairy, serves as a bias-free career mentor for girls ages 12–19 by:
- Recommending careers based on individual skills and interests, not gender norms.
- Highlighting women in diverse, non-traditional fields (e.g., robotics, politics, arts) as role models.
- Providing curated resources (courses, books, mentorship) to support career exploration.
- Leveraging AI to ensure dynamic, empowering, and natural conversations that adapt to users’ questions and needs.
What We Learned
Through this project, we deepened our understanding of AI and chatbot development, learning how to create more meaningful and personalized interactions with users. We gained experience using Vite, a fast and modern build tool, which significantly improved our development workflow. React played a pivotal role in building the interactive front end of the chatbot, enabling seamless and responsive interactions.
We also worked with the Gemini API to power AI-generated responses, learning how to integrate external services to offer tailored advice that aligns with each user's goals. The workshops equipped us with essential skills in prompt engineering, allowing us to design effective prompts that help the AI model generate responses that are relevant and empowering.
What It Does
Future Fairy is designed to serve as a supportive and motivational tool for young girls considering careers in fields they may not have traditionally been encouraged to pursue. It engages users by:
- Offering personalized career guidance based on their skills and interests.
- Providing real-world examples of diverse women in various professions.
- Recommending actionable steps to explore careers (classes, hobbies, etc.).
How We Built It
- Frontend: Built using React for a dynamic, responsive user interface, and Vite for fast development and streamlined build processes.
- Backend: We integrated the Gemini API to generate AI-powered responses that provide stereotype-resistant career advice. We also employed prompt engineering techniques to optimize the chatbot’s ability to deliver personalized, meaningful responses.
Challenges We Faced
Personalizing Career Advice: One of the biggest challenges was ensuring that the chatbot could offer tailored career advice across a wide range of user interests. By asking the user more about their interests, we were able to tailor the response to be relevant.
Ensuring Engaging Conversations: We needed to strike a balance between providing valuable advice and keeping the conversations engaging and empowering. Integrating the current conversation history was crucial to prevent repeating the same sentences.
Future Implementations with Aleo
Utilize Aleo SDK and blockchain to ensure users' privacy in the chatbox and in the transfer of data.
- Unique: Resists bias at its core and allows for organizations to have access to aggregate statistics.
- Beneficial: Allows for better organized, better funded and potentially more events to empower curious young girls.
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