Statistics Toolkit: AI-Augmented Analytics & Predictive Suite
Technology Stack
Project Overview
A professional-grade predictive analytics platform and statistical modeling suite. Perform high-precision hypothesis testing and machine learning with local AI insights powered by Ollama, ensuring 100% data privacy and secure research workflows. Features include a Predictive Suite for linear/logistic regression, an Inferential Logic module for T-Tests and ANOVA with automated assumption audits (Shapiro-Wilk, Levene's), and an AI Consultant. The platform integrates a Local Hybrid RAG Engine, grounding AI recommendations and statistical interpretations in a local knowledge base (such as APA 7th standards and test decision matrices) using semantic embedding matches and an optimized, zero-dependency TF-IDF search fallback if the local embedding API is offline. Fully compliant with WCAG 2.2 AA standards and supports research-ready CSV exports.
Features & Highlights

Unified statistical dashboard with automated assumption auditing and ML forecasting.

Linear regression data calculation and visualization.

Research-ready CSV export and SQLite session history for secure data management.


