The Future of vani-cycle
Moving beyond statistical predictions to build a truly intelligent health companion, powered by modern AI and Machine Learning.
Our Vision: From Code to Companion
The goal is to evolve `vani-cycle` from a simple prediction library into a proactive, personalized health platform. Here’s how we plan to get there.
Hyper-Personalization
By integrating daily logs—such as Basal Body Temperature (BBT), stress levels, and sleep patterns—our ML models will learn each user's unique cycle, providing predictions that are far more accurate than any calendar-based method.
Proactive Anomaly Detection
Future versions will use advanced algorithms to detect significant deviations from a user's baseline. The system will be able to flag potential health issues, encouraging users to seek professional medical advice when necessary.
Holistic Health Insights
Using generative AI, we aim to provide conversational, context-aware feedback. Imagine asking, "Why was my cycle different this month?" and receiving an insight based on your logged data, like stress or sleep changes.
Technology Roadmap
Our foundation is strong, but our future is even more exciting.
Current Stack
- Clean, modular TypeScript
- Statistically-sound prediction strategies (WMA)
- Pure functions for testability and reliability
- Modern, efficient build system with `tsup`
Future Tech
- LSTM Networks: For advanced time-series forecasting with multiple data inputs.
- TensorFlow.js: To run ML models directly in the browser, ensuring user data privacy.
- Generative AI APIs: For providing natural language insights and health coaching.
Join the Vision
This is an open-source project with an ambitious goal. If you're passionate about health tech, data science, or building beautiful applications, your contributions are welcome.
Contribute on GitHub