ChatBot

DEVtrust ChatBot POC: Leveraging AI for Dynamic PDF Querying and Response Generation

Introduction

We aimed to build a Proof of Concept (POC) for a ChatBot platform that could extract and provide precise answers from PDF documents, focusing on providing a seamless question-and-answer experience. The goal was to leverage AI and ML technologies to demonstrate apractical use case for dynamically querying structured content from their website.

Challenges
at a glance

Here are the challenges we encountered during the application's development phase

Content Extraction and Querying

Ensuring the ChatBot accurately extracts information from the uploaded PDF document and handle contextually complex questions to deliver precise answers.

Technical Implementation

Integrating OpenAI's GPT model with Django for backend processing along with storing and retrieving data efficiently with SQLite3.

Extensibility

Building the POC with an option to enable file upload for broader use casesand ensuring the architecture could scale to accommodate more documents and advanced queries in the future.

Solutions Blueprint

DEVtrust implemented several innovative solutions to address these challenges

AI-Driven Content Analysis

Utilized OpenAI's GPT model to extract content from the PDF pages and optimized the ChatBot to accurately parse and respond to user queries related to the extracted content.

User-Centric Interface Design

Developed a simple and responsive web-based interface using Bootstrap to enhance user experience and enabled optional functionality for users to upload their own PDFs for querying.

Scalable Architecture

Designed the POC with a modular approach, allowing future upgrades like multi-document querying and expanded ML capabilities.

Impact and
Achievements

The implementation of solutions yielded impressive results

Operational Efficiency

Successfully demonstrated the capability of querying structured content from PDFs, with 90% query accuracy.

Improved Information Accessibility

Enabled faster access to relevant information, reducing manual search time by 50%.

Enhanced User Experience

The simple and intuitive interface allowed users to interact seamlessly with the ChatBot.

ChatBot's user-friendly interface

Below are images showcasing the Proof of Concept (POC) ChatBot platform, designed to deliver precise answers from PDF documents through AI and ML technologies for a seamless question-and-answer experience.