You will get AI Tool to Answer Questions from PDFs and Internal Documents

4.7

Let a pro handle the details

Buy Other AI & Machine Learning services from Kanchan, priced and ready to go.
4.7

Let a pro handle the details

Buy Other AI & Machine Learning services from Kanchan, priced and ready to go.

Project details

Many organisations spend hours reading PDFs, policies, case files, and internal documents just to answer routine questions.

I will set up a ready-made, tried-and-tested RAG system that allows you to ask questions in plain English and get clear answers taken only from your own documents, with the exact source shown so answers can be verified.

The system is private, does not use the internet, and can be white-labelled under your organisation’s name if required.

This is a fixed-scope, fixed-price implementation, not hourly work.

What’s Included

Setup of a document question-answering system

Ingestion of your PDFs and internal files

Answers returned with source references

Private deployment

White-label option

Two months of after-sales support

Delivery Time

14 days (starts after documents are provided)

Project Price

USD 7,500

Requirements from You (Mandatory)

You must already have your documents (PDFs, files, policies, cases, etc.) ready and be able to provide access immediately after ordering.

Notes

This project is not a chatbot, does not connect to the public internet, and does not generate answers outside your documents.
AI Development Type
Knowledge Representation, Model Tuning, Recommendation System
AI Development Language
Python

What's included $7,500

These options are included with the project scope.

$7,500
  • Delivery Time 14 days
    • Detailed Code Comments
    • Knowledge Graph
    • Model Documentation
4.7
20 reviews
85% Complete
10% Complete
1% Complete
(0)
5% Complete
1% Complete
(0)

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Kanchan G.Status: Offline

About Kanchan

Kanchan G.Status: Offline
Senior Technical Architect | AI Engineering & Agentic Systems
4.7  (20 reviews)
Leeds, United Kingdom - 4:44 am local time
I don’t build wrappers; I architect scalable AI systems that solve complex business logic. With 5+ years in technical architecture and a background as a Founder in the healthcare AI space, I specialize in moving AI from "experimental demo" to "clinical/enterprise deployment."

My work has been recognized and selected for the NHS Propel HealthTech Accelerator (2025), reflecting my commitment to high-stakes, high-reliability engineering.

đź›  Core Expertise
Agentic Frameworks: Designing autonomous workflows using LangGraph, CrewAI, and custom Python-based state machines.

Voice Intelligence: Enterprise-grade voice agents integrated with Twilio and ElevenLabs for automated clinical and business scheduling.

Production RAG: High-performance Retrieval-Augmented Generation using Weaviate, Pinecone, and advanced chunking strategies.

LLM Orchestration: Expert integration of Gemini (Vertex AI), GPT-4, and Claude 3.5 into existing Python/React stacks.

🚀 Selected Impact
Healthcare (NHS Propel): Developed diagnostic support tools focusing on reliability and data security in healthcare environments.

Financial & Business Simulation: Built complex Python-based simulation models for behavioral analysis and ROI forecasting.

Custom AI Engines: Shipped 8+ live applications across the UK, USA, and India, focusing on local server execution and high-security deployment.

🏗 Technical Stack
Backend: Python (FastAPI, Flask), Node.js, Docker

AI/ML: OpenAI API, Google Vertex AI, LangChain, RAG Architecture

Cloud & DevOps: GCP (Certified), Firebase, Local Server Executables (EXE deployment)

Strategy: MBA in Finance & Marketing — I bridge the gap between technical complexity and business ROI.

Note: I am a Senior Architect. I prioritize code quality, SOLID principles, and long-term maintainability over quick-fix prototypes.

Steps for completing your project

After purchasing the project, send requirements so Kanchan can start the project.

Delivery time starts when Kanchan receives requirements from you.

Kanchan works on your project following the steps below.

Revisions may occur after the delivery date.

Review documents

Check document format, structure, and volume to prepare for setup.

Review the work, release payment, and leave feedback to Kanchan.