Smart CSV/Excel Assistant

Smart Data Analysis

AI-powered CSV analysis and NL→pandas (Excel support coming soon)

This system analyzes CSV files using Mistral AI to provide concise dataset summaries and convert natural language questions into runnable pandas code (executed in‑app). Excel support is coming soon.

Problem Statement

Addressing data analysis complexity

Data analysis often requires technical expertise in statistics, programming, and data visualization. Non-technical users struggle to get answers from their data files. This system bridges that gap by providing an AI assistant that can analyze CSV files and answer questions in natural language. Excel file analysis will be added soon.

System Architecture

Technical foundation and capabilities

Backend Framework

Flask API: RESTful web service for file processing
Pandas: Advanced data manipulation and analysis
PyExcel (planned): Excel file processing and analysis
File Support: CSV only for now (XLSX/XLS coming soon)
File Size Limit: 5MB maximum upload size

AI/ML Capabilities

Mistral AI: Advanced LLM for data analysis
LangChain: AI framework integration
Data Analysis: Automatic pattern detection
Natural Language: Chat with your data
Insight Generation: AI-powered recommendations

Features & Capabilities

Core functionality and intelligent features

Current Format Support CSV only; Excel (.xlsx/.xls) support coming soon

Data Analysis Automatic pattern detection and statistical analysis

Natural Language Queries Ask questions about your data in plain English

NL → Pandas Code Convert questions into runnable pandas code

Sample Datasets Real-world sample files from GitHub repositories

Easy Download Download sample files to test the system

How It Works

Step-by-step process flow

1

File Upload

Upload CSV files through the web interface (Excel support coming soon)
2

Data Analysis

System analyzes file structure, data types, and quality
3

CSV Summary

Display comprehensive data summary with sample rows
4

Natural Language Query

User asks questions about the data in plain English
5

Code Generation & Execution

Model generates pandas code; the app executes it and shows results

Benefits & Applications

Value proposition and real-world use cases

Key Benefits

No technical expertise required
Instant data insights
Natural language interaction
Pattern detection
AI-powered analysis
Educational data analysis tool

Use Cases

Business data analysis
Research data exploration
Educational data learning
Quick data insights
Data quality assessment
Trend analysis

Upload Data File

CSV Files

Excel Files

Sample Files from GitHub

Data Analysis Summary

AI Data Analysis

Column Names & Types

Sample Data (First 5 Rows)

Ask a question about your CSV