ai-health-dashboard/generate_pptx.py at main · koushickp/ai-health-dashboard · GitHub

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from pptx import Presentation
from pptx.util import Inches, Pt
from pptx.enum.text import PP_ALIGN
import os

def create_presentation():
    prs = Presentation()

    # Image Paths (generated)
    img_dir = r"C:\Users\patel\.gemini\antigravity\brain\e094cf49-ab54-484a-9b8f-fdcd441cf4f2"
    title_img = os.path.join(img_dir, "health_tech_title_graphic_1777719432447.png")
    dashboard_img = os.path.join(img_dir, "dashboard_illustration_1777719591219.png")
    safety_img = os.path.join(img_dir, "medical_ai_safety_icon_1777719604923.png")

    # --- Slide 1: Title Slide ---
    slide_layout = prs.slide_layouts[0]
    slide = prs.slides.add_slide(slide_layout)
    title = slide.shapes.title
    subtitle = slide.placeholders[1]

    title.text = "Health Assistant Dashboard"
    subtitle.text = "AI-Powered Symptom Tracking & Compassionate Consultation\nPresented by: Koushick P"

    if os.path.exists(title_img):
        slide.shapes.add_picture(title_img, Inches(7), Inches(0.5), width=Inches(2.5))

    # --- Slide 2: Project Overview ---
    slide_layout = prs.slide_layouts[1]
    slide = prs.slides.add_slide(slide_layout)
    title = slide.shapes.title
    title.text = "Project Overview"

    content = slide.placeholders[1]
    tf = content.text_frame
    tf.text = "The Health Assistant Dashboard is a modern web application designed to bridge the gap between symptom tracking and immediate AI guidance."
    p = tf.add_paragraph()
    p.text = "• Empowers users with real-time severity analysis."
    p = tf.add_paragraph()
    p.text = "• Provides empathetic, cautious medical suggestions."
    p = tf.add_paragraph()
    p.text = "• Prioritizes user safety with proactive emergency detection."

    # --- Slide 3: Key Features ---
    # Use a two-column-like layout (Text left, Image right)
    slide = prs.slides.add_slide(prs.slide_layouts[1])
    title = slide.shapes.title
    title.text = "Key Features"

    content = slide.placeholders[1]
    content.width = Inches(5)
    tf = content.text_frame
    tf.text = "1. Advanced Symptom Dashboard"
    p = tf.add_paragraph(); p.text = "   - Real-time Severity Breakdown (Bar Charts)"
    p = tf.add_paragraph(); p.text = "   - Historical Progress Tracking (Trend Lines)"
    p = tf.add_paragraph(); p.text = "2. Context-Aware AI Chatbot"
    p = tf.add_paragraph(); p.text = "   - Reads user history from the dashboard"
    p = tf.add_paragraph(); p.text = "3. Emergency Auto-Escalation"
    p = tf.add_paragraph(); p.text = "   - Automatic redirection to AI for high-severity logs"

    if os.path.exists(dashboard_img):
        slide.shapes.add_picture(dashboard_img, Inches(5.5), Inches(2), width=Inches(4))

    # --- Slide 4: AI Guardrails & Safety ---
    slide = prs.slides.add_slide(prs.slide_layouts[1])
    title = slide.shapes.title
    title.text = "AI Safety & Guardrails"

    content = slide.placeholders[1]
    content.width = Inches(6)
    tf = content.text_frame
    tf.text = "Safety is at the core of the AI persona:"
    p = tf.add_paragraph(); p.text = "• No Definitive Diagnosis: Speculative language used."
    p = tf.add_paragraph(); p.text = "• Empathy First: Warm and supportive doctor persona."
    p = tf.add_paragraph(); p.text = "• Domain Restricted: Health-related queries only."
    p = tf.add_paragraph(); p.text = "• Mandatory Disclaimers: Professional medical warnings."

    if os.path.exists(safety_img):
        slide.shapes.add_picture(safety_img, Inches(6.5), Inches(1.5), width=Inches(3))

    # --- Slide 5: Tech Stack ---
    slide = prs.slides.add_slide(prs.slide_layouts[1])
    title = slide.shapes.title
    title.text = "Technology Stack"

    content = slide.placeholders[1]
    tf = content.text_frame
    tf.text = "• Frontend: Streamlit (Python)"
    p = tf.add_paragraph(); p.text = "• AI Engine: OpenRouter (Llama 3.1 8B)"
    p = tf.add_paragraph(); p.text = "• Data Analysis: Pandas & Dotenv"
    p = tf.add_paragraph(); p.text = "• Visualization: Plotly Express"
    p = tf.add_paragraph(); p.text = "• Deployment: Git & GitHub Integration"

    # --- Slide 6: Conclusion ---
    slide = prs.slides.add_slide(prs.slide_layouts[1])
    title = slide.shapes.title
    title.text = "Future Roadmap"

    content = slide.placeholders[1]
    tf = content.text_frame
    tf.text = "• PDF Report Export: Summaries for doctors."
    p = tf.add_paragraph(); p.text = "• Wearable Integration: Apple Health / Fitbit."
    p = tf.add_paragraph(); p.text = "• Multilingual Support: Globally accessible care."

    # Save presentation
    output_path = 'Health_Assistant_Dashboard_Presentation_Visual.pptx'
    prs.save(output_path)
    print(f"Presentation created successfully: {output_path}")

if __name__ == "__main__":
    create_presentation()