SMC RW AI

SMC-RW-AI is an AI-powered solution to automate proposal writing, using advanced models like ChatGPT-4 and Azure AI Search. This enhanced efficiency, quality, and consistency, showcasing the client as a tech leader in their industry.

Industry

Medical & Legal

Media & Links:

Loom Video: https://www.loom.com/share/226b31e8cf7e4e909c8956f072c0b87b

Overview Image:

High-Level Architecture

The solution integrates OpenAI's ChatGPT-4 with Azure AI Search to automate proposal generation. Data is sourced from PDFs, Excel, Word files, and API endpoints, processed through AI models and SQL Server for seamless data integration, with PowerApps providing an intuitive interface for end-users.

Technologies Used

• OpenAI: ChatGPT-3, ChatGPT-4
• LLM: Large Language Models, Embedding, Vector Database
• Azure: AI Search, OpenAI, DevOps, Functions
• Azure Web Apps
• SQL Server
• Data Engineering & Data Integrations

Data Sources

• Files: PDF, Excel, Word Files
• PDF Invoices: Extraction of specific data
• API Endpoints: Integration to fetch data
• Data Scraping: Multiple sources (3-4)

Project Overview

Challenge

Automating the manual process of writing proposals for Requests for Proposals (RFPs).

Solution

• Implemented advanced AI models (ChatGPT-4) for customized proposal generation.
• Integrated Azure AI Search for efficient retrieval of historical RFPs and proposals.
• Enhanced proposal quality, speed, and consistency by leveraging AI and historical data.

Key Features

• Automated proposal generation tailored to specific RFP requirements.
• Question and Answer capability on trained medical data using OpenAI.
• High-quality, consistent submissions leveraging past data.
• Positioned Sterling Medical Corp as an industry leader in efficiency and technology.

Some Screenshots

• PDF Data Chat

• AI Auto Writer

• Medical Scraping Data AI