In Development

Gita AI RAG-Powered Spiritual & Mental Wellness Platform

A culturally-rooted AI counselor that uses advanced vector-search architecture to deliver hallucination-free, context-aware philosophical guidance.

Gita AI: RAG-Powered Spiritual & Mental Wellness Platform

Project Case Study

Modern students and professionals face intense academic and career anxiety, but often find clinical mental wellness apps culturally disconnected. Gita AI bridges this gap by acting as a digital sanctum — an intelligent counseling platform that dynamically retrieves exact verses from the Bhagavad Gita to provide immediate, deeply relevant emotional support and cognitive reframing.

Key Engineering Milestones

1

Zero-Hallucination RAG Pipeline

Engineered a strict retrieval system using Qdrant Vector Database. The LLM is physically restricted to answering only from a curated dataset of 737 pristine verses, entirely eliminating AI hallucinations and ensuring absolute scriptural accuracy.

2

Semantic Caching Architecture

Designed a high-performance vector caching layer holding 600+ historical responses. The system instantly serves answers for semantically similar queries, bypassing the LLM to achieve sub-second latency and drastically reduce API costs.

3

Seamless SPA Interface

Built a lightweight, responsive React frontend utilizing a pre-loading static HTML splash screen to mask heavy JavaScript bundle loading times, ensuring an instant Digital Sanctum experience.

Specifications

Development Stagein-progress
Project TypeOpen Source / Showcase
Repository VisibilityPrivate Repository

Technology Stack

PythonFastAPIReactQdrantRAGGemini API