Build DataChat AI App - Part 3 | FastAPI File Upload API
Welcome to Part 3 of the DataChat AI series.
In this video, we build the FastAPI file upload endpoint that allows users to upload CSV and Excel datasets into the DataChat AI platform.
You’ll learn how to:
✅ Build file upload APIs using FastAPI
✅ Upload CSV & Excel files
✅ Validate file types
✅ Validate file size
✅ Save uploaded datasets
✅ Organize backend project structure
✅ Handle API exceptions properly
This is part of a real-world AI engineering project where we are building an AI-powered analytics platform using FastAPI, PandasAI, and Streamlit.
🔥 What We Cover
• FastAPI project setup
• File upload endpoint
• UploadFile usage
• File validation
• CSV & XLSX support
• Upload directory management
• Exception handling
• API testing workflow
🛠️ Tech Stack
• Python
• FastAPI
• PandasAI
• Streamlit
• LiteLLM
• OpenAI Compatible Models
📌 Series Playlist
Build DataChat AI App Series
📚 Series Videos
Part 1 → Project Demo & Architecture
Part 2 → Setup & PandasAI
Part 3 → FastAPI File Upload API
Part 4 → File Management APIs
Part 5 → AI Chat API & Streamlit UI
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💡 About Codixian
Codixian helps developers build real-world engineering skills through practical projects, AI engineering, backend development, and future-focused learning.
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