⚡ Data Analyst Agent — Your AI-Powered Data Companion

Smarter, faster, and more intuitive analysis of your datasets using Generative AI + Python magic.
Repository: Insert your GitHub repo link here

---

📌 What Is This?

Meet Data Analyst Agent 2.0 — an AI-driven assistant that eliminates tedious data crunching.
Upload your dataset + queries, and instantly get:
✅ Visual reports
✅ AI-generated insights
✅ Automated workflows

Perfect for:

• Analysts 🧾
• Researchers 🔬
• Startups & Businesses 📈
• Anyone who loves turning raw data into knowledge

---

✨ Key Highlights

Feature	Why It’s Awesome 🚀
🤖 AI-Powered Insights	Uses Google’s Generative AI to “understand” your data
📊 Rich Visualizations	Generates plots with Seaborn & Matplotlib
🌍 Web Scraper Mode	Fetch live data directly from URLs
📂 Multi-Format Friendly	Accepts CSV, Excel, JSON, Parquet, or TXT
🔄 Ask Many at Once	Batch processing for multiple questions
🖥️ Simple-to-Use Interface	Beginner friendly, no steep learning curve
⚡ Super-Fast Execution	Optimized for speed + real-time feedback

---

🚀 Getting Started

1️⃣ Clone the Repo - git clone https://github.com/your-username/data-analyst-agent.git

cd data-analyst-agent

2️⃣ Install Requirements - pip install -r requirements.txt

3️⃣ Configure API Keys

Create a .env file inside the root folder:
GEMINI_API_KEY=your_google_api_key LLM_TIMEOUT_SECONDS=240

4️⃣ Start the Application - python -m uvicorn app:app --reload

Now open http://localhost:8000/ in your browser 🌐

🧑‍💻 How It Works

1. Write Your Questions
   Create a .txt file with queries like: What’s the revenue growth month-over-month?, Find correlation between Age and Income, Show most profitable products...etc

2. Upload Dataset + Questions File

• Dataset (optional) → CSV, Excel, JSON, Parquet, or TXT
• Questions file (required) → Plain text

3. Voilà!

• AI processes the queries
• Generates insights + summaries
• Builds neat visualizations

---

🛠 Tech Behind the Scenes

Backend

• FastAPI ⚡ → High-performance web server
• LangChain 🧠 → Orchestrates LLM interactions
• Google Generative AI ✨ → Core AI engine
• Pandas + NumPy 📊 → Data wrangling made smooth
• Seaborn + Matplotlib 🎨 → Clean, insightful charts

Frontend

• HTML5 + CSS + JavaScript
• Bootstrap-inspired modern UI

---

🔧 API Blueprint

Method	Endpoint	Purpose
GET	/	Access web app
POST	/api	Submit dataset + questions
GET	/summary	App diagnostics & summaries

---

📂 File Support

Format	Extensions
CSV	.csv
Excel	.xlsx, .xls
JSON	.json
Parquet	.parquet
Text	.txt

---

🎯 Where Can You Use This?

• 📈 Business Strategy – Sales, KPIs, forecasts
• 🔬 Research – Data exploration, hypothesis validation
• 🤖 Data Science – Quick EDA, anomaly detection
• 📊 Reporting – Automated dashboards

---

🔒 Security First

• ✅ No cloud storage → All data stays local
• ✅ API keys kept safe via .env
• ✅ Configurable CORS policy for production use

---

📜 License

Licensed under MIT – free for personal & commercial use.