I building an AI powered Ayurvedic Platform called Ayurfix. This platform connects patients with ayurvedic practitioners, yoga coaches and meditation gurus for video consultation and treatment.

It also has a conversational AI bot called " AyurBot " that guides the users through every step.

The platform has 2 portals, one for patients and other one for practitioners.

The Idea is that a new user signs up into AyurFix’s patient portal.
Ayurbot then conducts the initial traige, interviews the patient and Prepares a detailed report on the patient’s current state. 
Ayurbot then sends this report to the backend, where the backend processes the report and provides a diagnosis.
Ayurbot then provides this detailed diagnosis to the user.
Then, backend send a very detailed treatment plan with medication to the ayurbot, which the ayurbot provides to the user. 
Ayurbot then asks the patient if they want to continue with the treatment plan or would like to consult a practitioner.
If the user chooses to follow the treatment plan provided by ayurbot, the plan gets updated into the user’s database into appropriate modules.
The schedule page then gets updated with a list of tasks for the users to do for each day, depending upon the length of the treatment plan.
Based on the schedule, the user gets a notification on the time the task has been scheduled.
The user then goes to the tasks section inside schedule page and gets the details and simultaneously logs his activity which gets updated in the database.
Over the time all this collected data is used to provide analytics in the dashboard for different modules.
However, if the patient chooses to go for a practitioner instead of following the plan provided by the Ayurbot, they get to book and appointment by choosing their preferred practitioner from the consultation page and then get a video consultation in the App itself.
After the consultation, the practitioner provide the Ayurbot with the treatment plan for the patient, which gets updated in the patient’s database as discussed earlier. 

So, the Patient portal has 4 pages, 
1. A Schedule page - A list of tasks the patient should do for the day in relation to the treatment plan and all modules
2. A Dashboard, that contains all the Progress tracking mechanism with elaborate metrics and quantified system with a clear interactive visualisations related to each Module 
3. A Logging page where the user has to Log their activity and feedback
4. A consultation page where the patient selects the practitioner, books appointment and conducts the video consultation. 

Now i want a dashboard which is like health analytics that shows the progress on the following modules ::

1. Prakriti - Dosha, Gunas, Pakriti v/s Vikriti
2. Other important Vitals - Heart rate, Glucose levels, Etc
3. Sleep
4. Mental Health
5. Yoga
6. Meditation
7. Workouts
8. Rituals ( Bio hacking, Therapy etc )
9. Diet
10. Medication

Here are the details about each module ::

**Dashboard - Health Analytics for Prakriti**

### **Key Components:**

- **Current Dosha Balance**: Displays the patient’s current dosha constitution (Vata, Pitta, Kapha) based on inputs from the AyurBot and any additional self-logging the patient may have done.
    - Visual Representation: A pie chart with percentages for each dosha, showing which one is dominant.
- **Prakriti vs Vikriti**: Compares the patient’s **Prakriti** (natural constitution) with their current **Vikriti** (current imbalances). This shows where they are drifting from their natural state.
    - Visual Representation: Two side-by-side bar graphs showing "Prakriti" and "Vikriti" levels for each dosha. It should be easy to visually track how much the patient's current state deviates from their natural constitution.
- **Gunas**: Track the balance of Sattva, Rajas, and Tamas (mental and emotional qualities). This gives insight into the patient's emotional and mental balance.
    - Visual Representation: A horizontal bar graph or radial dial, displaying the current proportions of Sattva, Rajas, and Tamas.
- **Timeline Selector**: Allows users to see trends over different time intervals—daily, weekly, and monthly. It helps patients and practitioners see how well they are progressing or if their constitution is changing.
    - Visual Representation: A simple drop-down menu or toggle button for selecting time intervals. Each visualization updates dynamically based on the selected timeline.
- **Personalized Suggestions Box**: Based on the metrics, the dashboard can display a box with personalized suggestions like “More grounding activities to balance Vata” or “Increase cooling foods to reduce Pitta.”

### **Example Dashboard Visualization**:

- **Main Chart**: Pie chart showing the current dosha percentages (e.g., Vata: 40%, Pitta: 35%, Kapha: 25%).
- **Secondary Chart**: Bar graph showing Prakriti (Vata: 30%, Pitta: 40%, Kapha: 30%) vs Vikriti (Vata: 40%, Pitta: 35%, Kapha: 25%).
- **Gunas Graph**: Sattva: 50%, Rajas: 30%, Tamas: 20%, displayed in a radial dial.
- **Personalized Suggestions Box**: "Your Vata is currently elevated. Consider incorporating more warm, nourishing meals and grounding exercises like Yoga Nidra."

### **Dashboard - Health Analytics for Mental Health**

### **Key Components:**

- **Mood Tracking (with Positive Emotions)**: Along with general mood tracking, we'll emphasize positive emotions like **happiness, calmness, contentment**, and **gratitude**. Patients can log both positive and negative emotions to build a comprehensive emotional profile.
    - **Visual Representation**: A **dual-line graph or bar chart** showing trends for positive emotions (happiness, calmness, contentment) vs. negative emotions (stress, sadness, anxiety) over time (daily, weekly, monthly). This would give an overall sense of emotional balance and well-being.
- **Stress & Anxiety Levels**: Patients continue to input stress or anxiety levels on a scale (1-10 or “low, medium, high”), providing insight into their mental strain.
    - **Visual Representation**: A **gauge** or **line graph** showing the trend of stress and anxiety levels over the selected period.
- **Positive Emotion Balance**: In addition to tracking negative emotions (anxiety, sadness), the system shows how often positive emotions (calm, happiness, gratitude) are logged over time.
    - **Visual Representation**: A **pie chart or bar graph** showing the proportion of positive emotions vs. negative emotions over time. This helps patients visualize how often they are experiencing positivity in their day-to-day life.
- **Correlation Insights**: The platform displays the relationship between stress/anxiety levels and logged positive emotions. For example, if patients report more calmness or happiness after a particular event or activity, the dashboard could highlight that correlation.
    - **Visual Representation**: A **comparison graph** showing how changes in positive emotions (calmness, happiness) may affect stress/anxiety. E.g., “On days when happiness is logged, stress is consistently lower by 20%.”
- **Timeline Selector**: Patients can view these mental health trends over daily, weekly, or monthly intervals.
    - **Visual Representation**: A **toggle** or drop-down to switch between different time intervals, dynamically updating the charts and graphs.

### **Example Dashboard Visualization**:

- **Mood Chart**: A line or bar graph showing daily trends in both positive emotions (calm, happiness, contentment) and negative emotions (anxiety, stress, sadness).
- **Stress & Anxiety Gauge**: A simple gauge showing current stress/anxiety level compared to recent entries.
- **Positive vs. Negative Emotions Pie Chart**: A pie chart showing the overall balance of positive vs. negative emotions logged in the past week or month.

### **Dashboard - Health Analytics for Sleep**

### **Key Components**:

1. **Sleep Duration**:
    - **What it Tracks**: Tracks the patient’s **self-reported sleep duration** (how many hours they slept) each night. It allows patients to manually input when they went to bed, when they woke up, and how many hours of sleep they got.
    - **Visual Representation**: A **bar graph** or **line chart** showing sleep duration over the week, allowing patients to see if they are getting consistent, restful sleep.
2. **Sleep Quality**:
    - **What it Tracks**: Tracks the **quality of sleep** as reported by the patient, using a scale of 1-10 or a descriptive format (e.g., "Poor, Fair, Good, Excellent"). This includes factors like how restful the sleep was, how many times the patient woke up during the night, and how refreshed they felt upon waking.
    - **Visual Representation**: A **dual-line graph** showing the relationship between **sleep duration** and **sleep quality**, helping the patient understand whether they are getting restorative sleep.
3. **Ayurvedic Sleep Recommendations**:
    - **What it Tracks**: Correlates the patient’s sleep habits with **Ayurvedic principles**, such as whether they are following an appropriate **sleep routine** for their **Dosha**. AyurBot can provide reminders for Ayurvedic sleep hygiene practices like **early bedtimes**, **abhyanga (self-massage)**, or **warm milk with spices** before bed.
    - **Visual Representation**: A **pie chart** or **table** showing how often patients adhere to Ayurvedic sleep hygiene recommendations and whether it correlates with better sleep quality.
4. **Sleep Disruptors and Routines**:
    - **What it Tracks**: Tracks **self-reported disruptors** of sleep, such as stress, heavy meals late at night, or late caffeine intake. This can also track whether the patient followed Ayurvedic sleep practices (e.g., warm baths, meditation, early dinners).
    - **Visual Representation**: A **bar graph** or **pie chart** showing which disruptors (e.g., stress, screen time) are reported most frequently, and which routines (e.g., meditation, abhyanga) are followed regularly.
5. **Correlation of Sleep with Other Health Metrics**:
    - **What it Tracks**: Correlates sleep data with other modules, like **diet**, **exercise**, and **mental health**. For example, it can show if poor sleep correlates with higher stress levels or whether specific foods (e.g., too much caffeine or spicy food) impact sleep quality.
    - **Visual Representation**: A **correlation graph** showing the relationship between sleep patterns and energy levels, mental clarity, digestion, or stress.
6. **Timeline Selector**:
    - **What it Does**: Allows patients to view their sleep data over different time intervals (daily, weekly, monthly), helping them spot trends in their sleep patterns.
    - **Visual Representation**: A **toggle** or **dropdown** to switch between time intervals, dynamically adjusting the sleep data visualizations.

---

### **Example Dashboard Visualization**:

- **Sleep Duration Line Graph**: A line graph showing how many hours the patient slept each night over the past week or month.
- **Sleep Quality Dual-Line Graph**: A graph showing the relationship between sleep duration and sleep quality ratings, helping patients track whether longer sleep translates into better rest.
- **Ayurvedic Sleep Hygiene Adherence Chart**: A pie chart or table showing how often patients follow Ayurvedic sleep hygiene recommendations (e.g., early bedtime, warm milk).
- **Sleep Disruptor Pie Chart**: A pie chart showing the most frequently reported sleep disruptors (e.g., stress, late meals, screen time).
- **Sleep and Health Correlation Graph**: A correlation graph showing how poor sleep affects other health metrics like energy, digestion, and stress levels.

### **Dashboard - Health Analytics for Yoga**

### **Key Components:**

1. **Yoga Practice Adherence**:
    - **What it Tracks**: This component tracks how often the patient completes their recommended yoga sessions, based on their personalized treatment plan. It gives a clear sense of consistency, commitment, and adherence to their prescribed yoga routine.
    - **Visual Representation**: A **calendar heatmap** or **bar graph** showing the number of yoga sessions completed over time (e.g., daily, weekly, or monthly). Each day block or bar indicates whether the session was completed (e.g., “3 out of 5 yoga sessions completed this week”). Darker colors in the heatmap or higher bars indicate greater adherence.
2. **Yoga Practice Breakdown by Type**:
    - **What it Tracks**: This tracks the specific types of yoga practices patients have completed, such as **Asanas**, **Pranayama**, and **Meditation** (if logged).
    - **Visual Representation**: A **stacked bar graph** or **pie chart** that displays the percentage of yoga sessions dedicated to different practice types (e.g., “60% Asanas, 30% Pranayama, 10% Relaxation/Meditation”) over the selected period (daily, weekly, monthly).
3. **Time Spent by Yoga Type**:
    - **What it Tracks**: This metric displays the total time patients spend practicing different types of yoga, broken down by practice type.
    - **Visual Representation**: A **stacked bar chart** showing time spent on each practice type (e.g., “90 minutes of Asanas, 30 minutes of Pranayama”) over time.
4. **Flexibility/Stamina Progress by Asanas**:
    - **What it Tracks**: Tracks the patient’s self-assessed improvements in **flexibility** and **stamina** after practicing specific **Asanas** (yoga postures).
    - **Visual Representation**: A **dual-line graph** showing perceived flexibility and stamina improvement, linked to specific Asanas.
5. **Correlation Insights by Yoga Practice Type**:
    - **What it Tracks**: This component shows how different yoga practices correlate with health outcomes, such as stress reduction, improved flexibility, or better emotional well-being.
    - **Visual Representation**: A **comparison graph** showing how different practices (e.g., Asanas, Pranayama) impact metrics like **stress**, **flexibility**, and **mental health**. For example, “Patients who practice Pranayama 5 times a week reported 25% less stress.”
6. **Timeline Selector**:
    - **What it Does**: Allows patients to view their yoga practice and progress over different time periods—daily, weekly, or monthly.
    - **Visual Representation**: A **toggle** or **dropdown** to switch between time intervals, updating all visualizations accordingly.

---

### **Example Dashboard Visualization**:

- **Yoga Practice Adherence Calendar Heatmap**: A calendar view or heatmap showing days when the patient completed their yoga sessions. Darker blocks for days where sessions were completed consistently (e.g., 3 out of 5 completed).
- **Yoga Practice Breakdown Pie Chart**: A pie chart showing the distribution of practice types (e.g., Asanas, Pranayama, Relaxation/Meditation) over a selected period.
- **Time Spent Stacked Bar Graph**: A stacked bar chart showing total time spent on each type of practice over the last week or month.
- **Flexibility/Stamina Progress Graph**: A dual-line graph tracking flexibility and stamina improvements based on the Asanas practiced.
- **Correlation Graph**: A graph showing how specific yoga practices correlate with health metrics (e.g., lower stress levels after Pranayama).

### **Dashboard - Health Analytics for Meditation**

### **Key Components:**

1. **Meditation Practice Adherence**:
    - **What it Tracks**: This tracks how often the patient completes their meditation sessions, based on their treatment plan or goals. It reflects the patient's consistency and commitment to the practice.
    - **Visual Representation**: A **calendar heatmap** or **bar graph** showing the number of meditation sessions completed over time (e.g., daily, weekly, monthly). Darker color blocks or higher bars represent greater consistency (e.g., “4 out of 7 meditation sessions completed this week”).
2. **Time Spent Meditating**:
    - **What it Tracks**: Tracks the total time spent meditating each day or week. Patients can see how much time they devote to meditation and how this correlates with mental health improvements.
    - **Visual Representation**: A **line graph** or **bar chart** showing time spent meditating over time (e.g., daily, weekly, monthly).
3. **Types of Meditation Practiced**:
    - **What it Tracks**: This metric breaks down the specific types of meditation the patient practices, such as **Mindfulness**, **Guided Meditation**, **Mantra Meditation**, **Breathing Exercises**, or **Loving-Kindness Meditation**.
    - **Visual Representation**: A **stacked bar graph** or **pie chart** showing the proportion of time spent on each type of meditation. For example, 50% Mindfulness, 30% Guided Meditation, and 20% Breathing Exercises over a week.
4. **Impact of Meditation on Mental Health**:
    - **What it Tracks**: Tracks how meditation sessions correlate with the patient’s mental health, stress levels, and mood improvements over time. This shows the direct benefits of meditation.
    - **Visual Representation**: A **correlation graph** showing how meditation impacts mental health metrics (e.g., stress reduction, improved mood). For example, “Patients who meditate 5 times a week report 40% less stress.”
5. **Stress & Mood Tracking**:
    - **What it Tracks**: Patients’ stress and mood levels, tracked before and after meditation sessions, to measure the immediate impact of meditation.
    - **Visual Representation**: A **dual-line graph** showing stress and mood levels before and after meditation sessions, providing clear insights into its benefits.
6. **Timeline Selector**:
    - **What it Does**: Allows patients to view their meditation data over different time intervals (daily, weekly, monthly), giving flexibility in tracking their progress.
    - **Visual Representation**: A **toggle** or **dropdown** for adjusting the time period, dynamically updating all the visualizations.

---

### **Example Dashboard Visualization**:

- **Meditation Adherence Heatmap**: A calendar view or heatmap showing how many meditation sessions were completed over a set period. Darker shades or higher bars show greater adherence.
- **Time Spent Meditating Graph**: A line or bar graph showing how much time was spent meditating over the past week or month.
- **Meditation Type Pie Chart**: A pie chart showing the breakdown of meditation types practiced (e.g., Mindfulness 50%, Guided Meditation 30%, Mantra 20%).
- **Stress & Mood Dual-Line Graph**: A dual-line graph showing how stress and mood changed before and after meditation sessions.
- **Correlation Graph**: A graph showing the relationship between meditation frequency and stress reduction or mood improvement.

### **Dashboard - Health Analytics for Workouts**

### **Key Components:**

1. **Workout Adherence**:
    - **What it Tracks**: Tracks how often the patient completes their workout sessions, based on their treatment plan. Shows consistency and commitment to their fitness routine.
    - **Visual Representation**: A **calendar heatmap** or **bar graph** showing how many workout sessions were completed over time (e.g., “5 out of 7 workouts completed this week”).
2. **Time Spent Working Out**:
    - **What it Tracks**: Tracks how much time the patient spends working out, broken down by day, week, or month.
    - **Visual Representation**: A **line graph** or **bar chart** showing time spent working out (e.g., daily, weekly, monthly).
3. **Types of Workouts Practiced**:
    - **What it Tracks**: Breaks down workout types like **Cardio**, **Strength Training**, **Flexibility**, **HIIT**, etc.
    - **Visual Representation**: A **stacked bar chart** or **pie chart** that shows the percentage of each workout type over the selected period (e.g., “50% Cardio, 30% Strength, 20% Flexibility”).
4. **Detailed Exercise Metrics**:
    - **What it Tracks**: Tracks specific exercises performed, including metrics like **reps**, **sets**, **volume (weight lifted)**, **distance**, **speed**, and **intensity**. This provides granular insights into the patient's strength and endurance progress.
    - **Visual Representation**: A **table or interactive graph** showing detailed metrics for each exercise (e.g., “Squats: 3 sets of 12 reps, 150 kg total volume,” or “Running: 5 km at 6 min/km”).
5. **Stamina & Energy Improvements**:
    - **What it Tracks**: Tracks changes in stamina and energy based on the patient's workout performance over time. This is measured through self-assessments before and after workouts.
    - **Visual Representation**: A **dual-line graph** showing stamina and energy improvements over time, providing insights into how exercise impacts physical endurance.
6. **Correlation Insights by Exercise Type**:
    - **What it Tracks**: Tracks how specific exercise types (e.g., Cardio, Strength) correlate with improvements in stamina, energy, strength, and even mental health (e.g., stress reduction).
    - **Visual Representation**: A **correlation graph** showing how specific exercises impact performance and well-being (e.g., “Strength Training 3x per week led to a 20% increase in stamina and strength”).
7. **Timeline Selector**:
    - **What it Does**: Allows patients to view workout data over different time intervals (e.g., daily, weekly, monthly).
    - **Visual Representation**: A **toggle** or **dropdown** for adjusting the time period, updating all visualizations dynamically.

---

### **Example Dashboard Visualization**:

- **Workout Adherence Calendar Heatmap**: A heatmap showing how many workouts were completed in a given week or month.
- **Time Spent Working Out Graph**: A bar or line graph tracking the amount of time spent on workouts each day or week.
- **Workout Type Pie Chart**: A pie chart or stacked bar graph displaying the types of workouts (Cardio, Strength, etc.) the patient has been focusing on.
- **Detailed Exercise Metrics Table/Graph**: A table or graph showing detailed stats for each exercise, like reps, sets, volume for strength exercises, or distance and speed for cardio.
- **Stamina/Energy Dual-Line Graph**: A graph showing how the patient’s stamina and energy levels improve over time, based on workout performance.
- **Correlation Graph**: A graph showing how workout consistency or specific exercises improve overall health metrics (e.g., strength, endurance, or stress reduction).

### **Dashboard - Health Analytics for Rituals**

### **Key Components:**

1. **Ritual Adherence**:
    - **What it Tracks**: Tracks how often the patient completes their prescribed rituals or therapies (e.g., oil pulling, cold showers, herbal steam therapy, breathwork). This shows the patient’s consistency in following alternative wellness practices.
    - **Visual Representation**: A **calendar heatmap** or **bar graph** showing the number of ritual sessions completed over time (e.g., “4 out of 6 rituals completed this week”). Darker color blocks or higher bars represent greater adherence.
2. **Types of Rituals Practiced**:
    - **What it Tracks**: Breaks down the types of rituals or therapies practiced, such as **Bio-hacking** (e.g., cold showers), **Ayurvedic Therapies** (e.g., Abhyanga, Nasya), **Breathwork**, or **Self-Care Rituals** (e.g., skin care routines, aromatherapy).
    - **Visual Representation**: A **stacked bar graph** or **pie chart** showing the distribution of the different rituals practiced over time (e.g., “50% Bio-hacking, 30% Ayurvedic Therapies, 20% Self-Care”).
3. **Time Spent on Rituals**:
    - **What it Tracks**: Tracks how much time the patient spends on each ritual or therapy.
    - **Visual Representation**: A **line graph** or **bar chart** showing the total time spent practicing different rituals over a selected time period (e.g., daily, weekly, monthly).
4. **Impact of Rituals on Health**:
    - **What it Tracks**: Correlates the completion of rituals with health outcomes, such as **improved sleep**, **stress reduction**, **better digestion**, or **improved mental well-being**. This shows how following specific rituals or therapies impacts the patient’s overall health.
    - **Visual Representation**: A **correlation graph** showing the relationship between rituals and specific health improvements (e.g., “Cold showers 3x a week improved energy levels by 20%”).
5. **Self-Reported Health Improvements**:
    - **What it Tracks**: Patients can log how they feel after completing a ritual, particularly in terms of stress, sleep quality, digestion, or energy. This shows how each ritual affects their well-being.
    - **Visual Representation**: A **dual-line graph** showing self-reported improvements in specific areas like stress, sleep, digestion, or mental clarity over time.
6. **Timeline Selector**:
    - **What it Does**: Allows patients to view their ritual adherence and progress over different time intervals (daily, weekly, monthly).
    - **Visual Representation**: A **toggle** or **dropdown** to adjust the time period for viewing the data.

---

### **Example Dashboard Visualization**:

- **Ritual Adherence Heatmap**: A calendar heatmap showing how often the patient completed their rituals or therapies in a given time frame.
- **Types of Rituals Pie Chart**: A pie chart or stacked bar chart displaying the distribution of rituals practiced (e.g., Bio-hacking, Ayurvedic Therapy).
- **Time Spent on Rituals Graph**: A line graph showing how much time the patient has spent on each ritual over a set period (e.g., daily, weekly, monthly).
- **Health Impact Correlation Graph**: A correlation graph showing how the completion of certain rituals affects health metrics (e.g., “Cold showers correlate with a 30% reduction in stress”).
- **Self-Reported Health Improvements Graph**: A dual-line graph tracking improvements in areas like stress, sleep, digestion, or energy over time.

### **Dashboard - Health Analytics for Diet**

### **Key Components**:

1. **Dietary Adherence**:
    - **What it Tracks**: Tracks how consistently the patient follows their prescribed diet plan, including both modern nutritional goals (e.g., macronutrient and micronutrient targets) and Ayurvedic principles (e.g., Dosha-balancing foods).
    - **Visual Representation**: A **calendar heatmap** or **bar graph** showing adherence to the overall dietary plan (e.g., “6 out of 7 days followed Pitta-balancing diet and macronutrient targets”).

---

### **A. Macronutrient Tracking**:

1. **Macronutrient Intake (Carbs, Protein, Fat)**:
    - **What it Tracks**: Logs the intake of the three primary macronutrients: **Carbohydrates**, **Protein**, and **Fat**, giving a clear picture of whether the patient is meeting their daily, weekly, or monthly macronutrient goals.
    - **Visual Representation**: A **stacked bar graph** or **line chart** showing the daily, weekly, or monthly intake of carbs, protein, and fat. For example, the patient can see if they are meeting specific macronutrient ratios like “40% carbs, 30% protein, 30% fat.”
2. **Caloric Intake**:
    - **What it Tracks**: Logs the total daily caloric intake, helping patients monitor their energy balance and adjust portion sizes as needed.
    - **Visual Representation**: A **line graph** showing daily, weekly, or monthly caloric intake, compared to the patient’s target (e.g., 2000 kcal/day).

---

### **B. Micronutrient Tracking**:

1. **Micronutrient Intake (Vitamins, Minerals)**:
    - **What it Tracks**: Logs the intake of key **vitamins** (e.g., vitamin A, B, C, D, E) and **minerals** (e.g., calcium, magnesium, iron, potassium) to ensure the patient is receiving adequate micronutrients for overall health and immunity.
    - **Visual Representation**: A **radial chart** or **bar graph** showing daily, weekly, or monthly intake of essential vitamins and minerals. For example, the patient can see if they’re hitting 100% of the daily recommended intake for vitamin D or iron.

---

### **C. Ayurvedic Principles of Diet Tracking**:

1. **Rasas (Tastes)**:
    - **What it Tracks**: Tracks the balance of **Rasas (Tastes)** in the patient’s diet. According to Ayurveda, the six tastes (sweet, sour, salty, bitter, pungent, astringent) have a profound effect on the body and mind, and balancing these tastes is essential for Dosha health.
    - **Visual Representation**: A **radial or pie chart** showing the proportion of each taste consumed over the day, week, or month. This will help the patient track whether their meals are predominantly **sweet** (Kapha-aggravating) or **pungent** (Kapha-pacifying), for instance.
2. **Gunas (Qualities)**:
    - **What it Tracks**: Tracks the **Gunas (qualities)** of food consumed, such as whether the food is **light/heavy**, **dry/moist**, or **cooling/heating**. These qualities affect how the food is digested and how it impacts the balance of the Doshas.
    - **Visual Representation**: A **stacked bar graph** or **radial chart** showing the balance of food qualities consumed throughout the day or week, such as **cooling** for Pitta-pacifying or **heavy** for grounding Vata.
3. **Virya (Potency)** and **Vipaka (Post-Digestive Effect)**:
    - **What it Tracks**: Logs whether foods have a **heating** or **cooling** effect (**Virya**) and their **Vipaka** (post-digestive effect), such as whether the food will increase heat in the body (Pitta-aggravating) or have a cooling effect (Pitta-pacifying).
    - **Visual Representation**: A **simple color-coded graph** showing the heating or cooling potency of foods consumed over time.

---

### **Diet Impact on Health**:

1. **Correlation with Energy, Digestion, and Mental Clarity**:
    - **What it Tracks**: Tracks how the combination of **macronutrient**, **micronutrient**, and **Ayurvedic principles** (Rasas, Gunas, Virya, Vipaka) impacts key health metrics like **energy levels**, **digestion**, and **mental clarity**.
    - **Visual Representation**: A **correlation graph** showing how dietary adherence (across all categories) influences health outcomes. For instance, a higher intake of cooling foods might correlate with reduced Pitta-related symptoms like irritability or skin issues.

---

### **Example Dashboard Visualization**:

- **Macronutrient Stacked Bar Graph**: Shows daily, weekly, or monthly intake of carbs, protein, and fat, along with total calories.
- **Micronutrient Intake Chart**: A radial chart or bar graph showing the patient’s intake of essential vitamins and minerals, compared to daily recommended values.
- **Rasa & Guna Radial Chart**: A chart showing the balance of tastes and qualities in the patient’s meals, helping them track whether their diet is balancing or aggravating their Dosha.
- **Virya/Vipaka Potency Graph**: A color-coded graph showing the heating or cooling effects of meals over time.
- **Correlation Graph**: A graph showing how the diet (macronutrients, micronutrients, and Ayurvedic principles) impacts energy, digestion, and mental clarity.

### **Dashboard - Health Analytics for Medication**

### **Key Components**:

1. **Medication Adherence**:
    - **What it Tracks**: Tracks how consistently the patient takes their prescribed medications, herbs, or supplements. This includes both Ayurvedic herbs (like **Ashwagandha, Brahmi, Triphala**) and modern medications (if applicable).
    - **Visual Representation**: A **calendar heatmap** or **bar graph** showing the patient’s adherence to their medication schedule (e.g., “7 out of 7 days took prescribed herbs”).
2. **Dosage and Timing**:
    - **What it Tracks**: Logs the dosage and timing of each medication or supplement. Ayurvedic herbs often have specific guidelines for how and when they should be taken (e.g., on an empty stomach, with warm water).
    - **Visual Representation**: A **line graph** or **table** displaying the dosage taken over time, with notations for different herbs and supplements.
3. **Herb/Supplement Interaction with Diet & Lifestyle**:
    - **What it Tracks**: Correlates the effect of herbs and medications with the patient’s **diet** (especially Ayurvedic diet) and **lifestyle practices** (e.g., yoga, meditation). This helps patients understand how well the medications or herbs are working in synergy with other treatments.
    - **Visual Representation**: A **correlation graph** showing the relationship between taking specific herbs and changes in health metrics like energy levels, digestion, mental clarity, or Dosha balance.
4. **Self-Reported Effects and Side Effects**:
    - **What it Tracks**: Patients can log how they feel after taking their medications or herbs, particularly focusing on improvements or side effects like digestive issues, energy fluctuations, or mood changes.
    - **Visual Representation**: A **dual-line graph** or **pie chart** showing improvements or side effects reported after taking herbs or medications.
5. **Health Outcome Tracking (Related to Medication)**:
    - **What it Tracks**: Tracks how medications or supplements impact key health outcomes over time. This might include improvements in Dosha-related imbalances (e.g., reduced Pitta aggravation), better digestion, improved sleep, or stress reduction.
    - **Visual Representation**: A **bar graph** or **radial chart** showing improvements related to specific health outcomes over time (e.g., "60% reduction in Vata imbalance symptoms").
6. **Timeline Selector**:
    - **What it Does**: Allows patients to view their medication adherence and health outcomes over different time intervals (daily, weekly, monthly).
    - **Visual Representation**: A **toggle** or **dropdown** to switch between time intervals and adjust all visualizations accordingly.

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### **Example Dashboard Visualization**:

- **Medication Adherence Heatmap**: A heatmap showing how consistently the patient took their prescribed herbs and medications over a given period.
- **Dosage and Timing Table/Graph**: A line graph or table showing the dosage and timing of each medication taken throughout the day, week, or month.
- **Health Impact Correlation Graph**: A correlation graph showing how specific herbs or medications affected health metrics like digestion, energy, or mental clarity (e.g., “Taking Ashwagandha improved stress by 30%”).
- **Self-Reported Effects Graph**: A dual-line graph showing reported improvements versus side effects after taking certain herbs or medications.

Now, help me by providing wireframes for each page of the patient portal. 

Lets first focus on the dashboard page, we shall have buttons for each module upon clicking on which a sheet opens up on the side displaying the progress details of that modules as we discussed before.