The Feminine Intelligence Agency (FIA) is an organization dedicated to empowering women by enhancing their ability to navigate and improve interpersonal relationships across various aspects of life, including dating, love, family, and friendships. FIA focuses on providing women with the tools and knowledge needed to recognize and address manipulative and deceptive behaviors, fostering healthier and more equitable interactions in their personal and social spheres. One of FIA’s innovative initiatives, the Player Identifier Chatbot, is designed to help women identify and understand manipulative behaviors in their relationships, enabling them to make informed decisions and maintain healthier connections.

In this project, students will help us rebuild and enhance the Player Identifier Chatbot based on comprehensive user feedback. The students will analyze the collected data to identify key improvement areas, implement requested features, and optimize the chatbot’s performance and user experience. With a well-defined scope and organized methodology, this project offers an engaging opportunity for students to apply their programming and project management skills to a meaningful and well-received product. By developing the next version of the Player Identifier Chatbot, students will contribute to creating a more effective tool that continues to receive positive user acclaim and supports FIA’s mission of fostering healthier and more respectful interpersonal relationships for women.

Enhanced Backend System:

• Transparent Decision-Making Logic: Rebuild the chatbot’s backend to include detailed logging and reasoning for each judgment call made by the chatbot. This will involve implementing a system that tracks the chatbot’s decision paths, enabling FIA to understand the factors influencing each response.
• Modular Architecture: Develop a scalable and maintainable backend architecture that allows for easy updates and integration of new features. This includes organizing code into modular components, ensuring clean and efficient data processing, and optimizing database interactions.
• API Documentation: Provide comprehensive documentation of the backend system, including API endpoints, data flow diagrams, and explanations of the decision-making algorithms used. This documentation will facilitate future maintenance and potential collaborations.

Text-to-Speech (TTS) Integration:

• Mobile-Friendly TTS Functionality: Integrate text-to-speech technology into the chatbot to enhance accessibility and usability on mobile devices. This feature will enable users to receive spoken responses, reducing the need for typing and making interactions more seamless.
• Voice Customization Options: Implement options for users to select different voice profiles, adjust speech speed, and choose language preferences to cater to diverse user needs and preferences.
• Performance Optimization: Ensure that the TTS integration is optimized for quick response times and minimal latency, providing a smooth and efficient user experience on various mobile platforms.

Comprehensive Documentation and Reporting:

• Technical Documentation: Create detailed documentation covering the enhanced backend system and TTS integration. This should include system architecture diagrams, code annotations, setup instructions, and troubleshooting guides to support FIA’s technical team in maintaining and further developing the chatbot.
• User Feedback Implementation Report: Compile a report summarizing how user feedback was analyzed and incorporated into the backend enhancements and TTS features. This report should highlight key improvements made, the rationale behind them, and the anticipated impact on user experience.
• Demonstration and Training Materials: Develop a set of training materials and a demonstration video showcasing the new features and functionalities. These materials will aid FIA in training their staff to manage and utilize the updated chatbot effectively.

Presentation:

• Final Presentation: Deliver a 10-15 minute presentation to FIA stakeholders, demonstrating the enhanced backend system and TTS integration. The presentation should include live demonstrations, key technical improvements, user feedback insights, and strategic recommendations for future developments.