Memory Lane
Memory Lane is an innovative application designed to support caregivers and enhance the emotional well-being of dementia patients through AI-driven reminiscence therapy and narrative storytelling.
Overview
Memory Lane addresses the critical shortage of care home volunteers for dementia patients by combining artificial intelligence with narrative storytelling. The app facilitates meaningful conversations, helping patients recall and share cherished memories while reducing the workload for caregivers. By generating personalized emotional narratives and AI-created images, Memory Lane strengthens the emotional connections between patients and their memories.
Features
- Interactive Conversations: Encourages meaningful discussions tailored to dementia patients' needs.
- Personalized Narratives: Generates emotional stories based on patient interactions.
- AI-Generated Images: Utilizes DALL-E 3 to create visuals that reinforce memories.
- Intuitive Interface: Easy-to-use design optimized for both patients and caregivers.
- Language Detection: Automatically detects user language for a seamless experience.
- Speech Integration: Implements text-to-speech and speech-to-text technologies for enhanced communication.
Demo
Experience Memory Lane in action:
Try It Out: Memory Lane Demo
Learn More: Devpost - Devpost
Pictures
Built With
- ReactJS - Front-end framework
- Flask - Backend framework
- OpenAI API - Text-to-speech and generative text functionalities
- DALL-E 3 - Image generation
- Tailwind CSS - Styling framework
- JavaScript - Programming language
- Python - Programming language
Contributors
Juan Gutierrez - Front-end, Backend, Team Lead
Aryan Aggarwal - Backend, OpenAI API Integration
Aaliyah Pirani - Backend, OpenAI API Integration
Brian Su - Front-end, Backend
Acknowledgments
QHacks: Special thanks to QHacks for providing the platform and mentorship that made this project possible.
Contact
For any inquiries or feedback, please reach out to:
Juan Gutierrez - LinkedIn
Aryan Aggarwal - LinkedIn
Aaliyah Pirani - LinkedIn
Brian Su - LinkedIn
Connect with us on GitHub or visit our project page for more information.