AI / Machine Learning

DataPulse AI Analytics

Automated CSV Analytics & Conversational AI Chatbot Engine

Project Overview & Architecture

DataPulse Analytics empowers teams to query, analyze, and visualize massive CSV datasets without writing SQL or Python. Built with FastAPI, Next.js, and GenAI models, users upload structured data to receive instantaneous statistical insights, correlation graphs, anomaly alerts, and conversational answers to complex business queries powered by LLM agent tool calling.

Key Technical Features

Instant CSV & Tabular Dataset Ingestion with Auto Schema Detection

Natural Language Conversational Chatbot powered by LLM Agent Functions

Interactive Dynamic Charts & Regression / Correlation Projections

Automated Outlier & Anomaly Detection with P-value Verification

Sub-20ms Cached In-Memory Aggregations with Python & Pandas

Exportable Executive PDF & JSON Summary Reports

Tech Stack

PythonFastAPINext.jsTypeScriptPandasOpenAI APITailwind CSSRedis

Performance Metrics

Query Speed:< 20ms

AI Engine:FastAPI + LLM

Accuracy:99.4%