What if you could automatically generate dashboards from your database using AI—with zero manual SQL or chart-building? In this post, I’ll walk you through building an AI-powered dashboard generator using Python, Plotly Dash, and Google’s Gemini Pro Vision model.
🧠 What We're Building
An interactive web app that connects to your database, analyzes your schema and data, and generates smart, AI-driven visualizations with explanations — no manual configuration needed.
🔍 Features
🔎 Automatic Schema & Data Analysis
Gemini detects column types, relationships, and sample data.
📊 Smart Visualization Suggestions
The AI recommends charts like bar, line, scatter, pie, and histogram based on data patterns.
🧠 Aggregations Made Easy
Auto-handling of sum, avg, count, min, max, grouped intelligently.
💅 Modern UI with Plotly Dash
Responsive layout, interactive graphs, real-time updates, and a smooth user experience.
📦 Technologies Used
Python 3.8+
Dash by Plotly
Google Generative AI SDK
SQLAlchemy (for database connections)
Gemini Pro Vision (gemini-1.5-flash or gemini-1.5-pro)
🔧 Setup Instructions
- Clone the Repo & Install Requirements
git clone https://github.com/yourname/ai-dashboard-generator
cd ai-dashboard-generator
pip install -r requirements.txt
- Create a .env File Add your database credentials and Gemini API key:
For SQLite
DB_TYPE=sqlite
DB_NAME=your_database.db
GOOGLE_API_KEY=your_gemini_api_key
PostgreSQL/MySQL config:
DB_TYPE=postgresql
DB_HOST=localhost
DB_PORT=5432
DB_NAME=your_database
DB_USER=your_username
DB_PASSWORD=your_password
GOOGLE_API_KEY=your_gemini_api_key
- Run the App
python main.py
Then open your browser:
👉 http://localhost:8050
🔑 Getting a Gemini API Key (FREE)
Go to Google AI Studio
Sign in with your Google account
Click "Create API Key"
Copy and paste it into your .env
✅ Free Tier:
60 requests/minute, 1M characters/month, no credit card required.
📊 How It Works
Step 1: Schema Analysis
The app introspects your database using SQLAlchemy, identifying:
All tables
Column names & data types
Potential categorical/numeric/date fields
self.metadata.reflect(bind=self.engine)
self.inspector.get_columns(table_name)
Step 2: Prompt Gemini for Chart Suggestions
Gemini receives a structured prompt like:
Analyze this database table and suggest the best visualizations:
Table: users
Columns: ['id', 'age', 'signup_date']
...
It replies with JSON-like objects:
{
"type": "bar",
"x": "signup_date",
"y": "count",
"title": "User Signups Over Time",
"explanation": "Bar chart to show user signups grouped by date."
}
Step 3: Visualization with Plotly
The app uses plotly.express to build each visualization dynamically:
fig = px.bar(df_grouped, x='signup_date', y='count', title='User Signups Over Time')
You get interactive zooming, panning, tooltips, and more.
🖼️ Supported Visualizations
📊 Bar Charts
📈 Line Charts
🔵 Scatter Plots
🥧 Pie Charts
📉 Histograms
Each chart includes an explanation of why it was suggested — all powered by Gemini.
🧪 Demo Use Case
Imagine a sales table like this:
date region revenue
2024-01-01 East 1000
2024-01-02 West 850
The AI might generate:
A line chart: revenue over time
A bar chart: total revenue by region
A pie chart: revenue share by region
All of that, with zero manual chart coding.
🧠 Why Use Gemini?
Traditional BI tools require manual chart design. Gemini understands natural data patterns and recommends visualizations that:
Highlight trends
Aggregate meaningfully
Require no human SQL
It acts like a data analyst who just knows what to show.
🔓 License
MIT – free to use, modify, and build on.
📈 Future Ideas
Export charts to PNG/PDF
Embed dashboards in other apps
Natural language question support ("Show me revenue by month")
Row-level filtering
🌐 Conclusion
With just a Gemini API key and a database, you can now build AI-powered dashboards in minutes. Whether you're building for internal analytics, client reporting, or automating BI, this setup gives you insight on autopilot.
Ready to turn your data into decisions?
Clone the repo and let Gemini do the heavy lifting.
GitHub Link - https://github.com/v0nser/ai-dashboard-generator
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