# Key Features 1. **AI-Powered Health Companion** * AskSally AI: Providing reliable, evidence-backed answers to health questions, drawing from trusted research and clinical studies. * Medical Document Analysis: Offering AI-driven insights from uploaded health documents like lab reports or EKGs, spotting trends and potential risks. * Personalized Recommendations: Creating tailored plans for nutrition, exercise, and stress management, based on individual health metrics. 2. **Wellness Terminal Interface** * Preventive Medicine Focus: Serving as a central hub for holistic health tracking across nutrition, sleep, and exercise, designed for preventive care. * Wallet Integration: Allowing access to advanced features and priority support by linking with A1C token holdings. 3. **Proactive Health Alerts** * Early Risk Detection: Monitoring trends in user-provided data (like glucose levels or weight) to notice and flag potential risks early. * Lifestyle & Habit Reminders: Sending timely reminders for healthy habits like sleep, hydration, or exercise, and for things like supplement tracking or recovery, via WhatsApp or Telegram. * Appointment & Checkup Reminders: Sending reminders for important medical checkups, such as needed lab reports. 4. **Macro and Micro Nutrients Tracker** * Detailed Nutrient Breakdown: Providing detailed nutrient tracking for macronutrients (proteins, carbs, fats) and micronutrients (vitamins, minerals), showing the true nutritional value of meals. * Smart Food Analysis: Instantly analyzes scanned food items against personalized metabolic targets, illustrating how choices impact daily nutrient needs and suggesting optimized alternatives for individual health profiles. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://sallya1c.gitbook.io/docs/features-and-technical/key-features.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.