Sight Pro — Python Architecture
The Problem & My Role
Enterprise teams face massive bottlenecks in document processing and data extraction, relying on manual data entry that slows down operational scaling and introduces human error.
The Solution
I architected Sight Pro—an intelligent AI workflow automation tool that uses Agentic LLMs to extract, categorize, and process unstructured data from documents in real-time, reducing processing time by over 80%.
Technical Architecture
The platform is built on a high-performance Python backend (FastAPI/Flask) integrated with advanced RAG (Retrieval-Augmented Generation) pipelines. It leverages Google Gemini and IBM Granite APIs for cognitive processing, while the frontend is engineered in React/Next.js for a highly responsive dashboard experience.
Core Technologies:
UI/UX & Constraints
Results & Impact
Successfully deployed to production (hosted on Render/Vercel). Proved the viability of agentic workflows for local enterprises and served as the foundational architecture that contributed to winning the MLH Hack Days Kanpur.
Need similar capabilities?
If you are looking to build a scalable AI Product architecture, let's connect. I specialize in enterprise-grade engineering.
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