AI Data Analysis Platform

An intelligent data analysis platform powered by Google Gemini AI with 22 domain modules and international statistical standards.

What It Does

Upload any dataset — the platform automatically:

• Detects which domain the data belongs to
• Applies international statistical standards
• Generates professional charts and visualizations
• Produces AI-powered written analysis
• Exports complete text and Excel reports
• Delivers results via Telegram or web dashboard

Supported Domains

Domain	Standards
Education	UNESCO / OECD / PISA
Healthcare	WHO / HIMSS
Finance	IFRS / CFA
Sales	Salesforce / HubSpot
HR	SHRM / ISO 30414
Manufacturing	ISO 22400 / OEE
Logistics	CSCMP
Sports	Opta / FIFA
Marketing	Google / HubSpot
Real Estate	NAR / RICS
Retail	NRF
Energy	IEA / IRENA
Agriculture	FAO / USDA
Government	OECD / World Bank
Insurance	IAIS / Swiss Re
IT/DevOps	DORA / ITIL
Social Media	Sprout Social
Cybersecurity	NIST / ISO 27001
E-Commerce	Shopify / Baymard
Supply Chain	SCOR / Gartner
Hospitality	STR
Telecommunications	ITU / GSMA

Technology Stack

• AI: Google Gemini 3.5 Flash with model fallback
• Data: Pandas, NumPy, SciPy
• Charts: Matplotlib, Seaborn
• Dashboard: Streamlit
• Bot: Python Telegram Bot
• Reports: Text + Excel (openpyxl)

Quick Start

1. Clone the repository

git clone https://github.com/Engr-umer-mohammed/ai-data-analysis-platform.git
cd ai-data-analysis-platform

2. Install dependencies

pip install -r requirements.txt

3. Set up environment variables

cp .env.example .env
# Edit .env and add your GEMINI_API_KEY

4. Run terminal interface

python main.py

5. Run web dashboard

https://ai-data-analysis-platform-umer.streamlit.app/

6. Run Telegram bot

python telegram_bot.py

Project Structure

Project Structure

ai-data-analysis-platform/ ├─ data_agent.py # Main orchestration ├── data_loader.py # Universal file reader ├── statistical_analyzer.py # Statistical engine ├── visualizer.py # Chart generation ├── report_generator.py # Report writing ├── dashboard.py # Streamlit dashboard ├── main.py # Terminal interface └── customization/ ├── domain_registry.py # Auto-routing ├── base_domain.py # Base class └── domains/ # 22 domain modules

Developer

Umer Mohammed
Senior Electrical Power Engineer | AI Systems Engineer
LinkedIn: linkedin.com/in/engr-umer-mohammed
Email: umermohammed62@gmail.com

License

MIT License — free to use and modify