Zehra Khan@khanzehra14035938

Elara is a Cycle Intelligence & Emotional Wellness platform that connects two things most apps treat separately: menstrual cycle prediction and emotional support. Users log cycle and mood data; a statistical/ML model predicts their next period, fertile window, and PMS onset, deriving their current cycle phase in real time. That phase is then passed as context into a wellness agent (MiniMax M3 via Fireworks AI), which responds with warmth, connecting mood to phase only when genuinely relevant, never diagnosing, and flagging entries that suggest a need for professional support. The backend (FastAPI + SQLite) wires the prediction engine and wellness agent into one live API, tested end to end on a real clinical cycle dataset (Marquette NFP study data via Kaggle). As part of our AMD Developer Cloud usage, we're fine-tuning a LoRA adapter on curated wellness-response examples using ROCm-enabled MI300X GPUs, to lock in tone and boundaries beyond prompt engineering alone — this piece is in progress alongside the rest of the build.

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