AI Automated Dashboard Generator
Budget: ₹12,500 – ₹37,500 INR
1. User Upload & Dataset Analysis
Users can upload Excel, CSV, or Google Sheets files.
AI automatically detects:
Data types (numeric, categorical, datetime)
Missing values
Column relationships
Outliers and trends
2. AI-Generated Dashboard
Instantly generates visual dashboards including:
Charts (bar, pie, line, scatter)
KPIs (totals, averages, growth rates)
Filters/slicers (date range, categories)
Forecasts and predictions (optional)
3. Auto Insights Engine (NLP)
AI reads the data and generates natural language summaries like:
“Sales increased by 23% in Q2”
“Customer churn is highest in July”
Uses GPT/NLP for data storytelling.
4. Drag-and-Drop Editor (Optional)
Users can customize visuals manually (like in Power BI or Tableau).
Add/remove charts, change colors, rearrange layout.
5. Dashboard Export/Sharing
Export to:
PDF
Image
Web link (for clients)
Embed dashboard in websites or internal tools.
6. Authentication & User Management
Login/Signup using Email or Google.
Each user sees only their own dashboards.
Roles: Admin / Client / Viewer
7. Backend Infrastructure
Frontend: React.js / Next.js (Fast and modern UI)
Backend: Python (FastAPI or Flask)
AI Layer: GPT-4 / PandasAI / LangChain
Visualization: Plotly / ECharts / Chart.js
Database: MongoDB / PostgreSQL
File Storage: AWS S3 / Firebase Storage
8. Advanced AI Features (Optional)
Predictive analytics: Revenue forecasting, churn prediction.
Recommendation engine: Which product to push based on past trends.
Query with voice or text: “Show me top 5 sales by region”
9. Pricing/Plans (If SaaS)
Free tier: Limited dashboards per month
Paid tier: More users, export options, AI predictions, white-labeling
10. Ideal Use Cases
Business Intelligence for SMBs
Client reporting for marketing/data agencies
Internal performance tracking
E-commerce sales dashboard
Health/Fitness or Education reporting tools
Users can upload Excel, CSV, or Google Sheets files.
AI automatically detects:
Data types (numeric, categorical, datetime)
Missing values
Column relationships
Outliers and trends
2. AI-Generated Dashboard
Instantly generates visual dashboards including:
Charts (bar, pie, line, scatter)
KPIs (totals, averages, growth rates)
Filters/slicers (date range, categories)
Forecasts and predictions (optional)
3. Auto Insights Engine (NLP)
AI reads the data and generates natural language summaries like:
“Sales increased by 23% in Q2”
“Customer churn is highest in July”
Uses GPT/NLP for data storytelling.
4. Drag-and-Drop Editor (Optional)
Users can customize visuals manually (like in Power BI or Tableau).
Add/remove charts, change colors, rearrange layout.
5. Dashboard Export/Sharing
Export to:
Image
Web link (for clients)
Embed dashboard in websites or internal tools.
6. Authentication & User Management
Login/Signup using Email or Google.
Each user sees only their own dashboards.
Roles: Admin / Client / Viewer
7. Backend Infrastructure
Frontend: React.js / Next.js (Fast and modern UI)
Backend: Python (FastAPI or Flask)
AI Layer: GPT-4 / PandasAI / LangChain
Visualization: Plotly / ECharts / Chart.js
Database: MongoDB / PostgreSQL
File Storage: AWS S3 / Firebase Storage
8. Advanced AI Features (Optional)
Predictive analytics: Revenue forecasting, churn prediction.
Recommendation engine: Which product to push based on past trends.
Query with voice or text: “Show me top 5 sales by region”
9. Pricing/Plans (If SaaS)
Free tier: Limited dashboards per month
Paid tier: More users, export options, AI predictions, white-labeling
10. Ideal Use Cases
Business Intelligence for SMBs
Client reporting for marketing/data agencies
Internal performance tracking
E-commerce sales dashboard
Health/Fitness or Education reporting tools