Stratify AI is an AI-powered decision engine that combines real-time data, document intelligence, and large language models to generate structured, explainable business insights.
Unlike traditional chatbots, it delivers data-driven decisions with reasoning, risk analysis, and confidence scoring, along with real-time market visualization.
Modern decision-making suffers from:
- Fragmented data sources (reports, news, markets)
- Lack of real-time insights
- Generic AI responses without structured reasoning
Stratify AI solves this by integrating multi-source data + AI reasoning into a unified system.
Ask a question like:
“Should I invest in Tesla?”
Stratify AI will:
- Analyze relevant document context (RAG)
- Fetch real-time market trends (News API)
- Evaluate stock performance (yfinance)
- Generate a structured response:
- 🔍 Retrieval-Augmented Generation (RAG)
- 📰 Real-time News Integration
- 📈 Stock Market Analysis (yfinance)
- 🧠 Structured AI Decision Outputs
- 🎨 Interactive Dashboard UI
- 📊 Dynamic Stock Charts (Tesla, Apple, Google, Amazon)
- 🧾 Query History Tracking
- ⚡ Efficient Single-Agent Architecture
| Layer | Technology |
|---|---|
| Backend | FastAPI |
| Frontend | Gradio |
| AI Model | Groq (LLaMA 3) |
| RAG | Sentence Transformers + FAISS |
| Data Sources | News API, yfinance |
| Language | Python |
git clone https://github.com/Aastha-Ingle/Stratify-AI.git
cd Stratify-AI
cd backend
pip install -r requirements.txt
uvicorn main:app --reload
cd frontend
python app.py