You will get AI Utility Suite for Meeting Summaries & Document Q&A
Project details
You will get a production-ready AI Utility Suite that automates meeting summarization, document summarization, and intelligent document Q&A. This solution helps businesses save hours of manual work and unlock insights instantly.
Unlike basic AI scripts, I build scalable, structured applications using LangChain, FastAPI, and Streamlit with clean architecture and modular design. The system can process audio/video meetings, extract action items, summarize PDFs, and enable context-aware chat using vector search (RAG).
I focus on real-world usability, performance, and clean UI — not just AI demos. The application is built for business use and can be deployed locally or on cloud infrastructure.
The work I deliver is well-structured, documented, and ready for integration or scaling.
Unlike basic AI scripts, I build scalable, structured applications using LangChain, FastAPI, and Streamlit with clean architecture and modular design. The system can process audio/video meetings, extract action items, summarize PDFs, and enable context-aware chat using vector search (RAG).
I focus on real-world usability, performance, and clean UI — not just AI demos. The application is built for business use and can be deployed locally or on cloud infrastructure.
The work I deliver is well-structured, documented, and ready for integration or scaling.
Programming Languages
PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$199
|
Standard
$499
|
Advanced
$899
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 5 | 10 | 15 |
Design Customization | - | - | |
Content Upload | |||
Responsive Design | - | ||
Source Code |
Frequently asked questions
About Siva
Generative AI Engineer | LLMs | RAG Pipelines
Coimbatore, India - 5:32 am local time
From building RAG-based NLP pipelines to deploying document intelligence platforms using tools like LangChain, LangGraph, and Azure AI, I bring deep technical expertise and business-focused thinking to every project.
Whether you're looking to build an end-to-end LLM-powered application, automate document processing, or extract insights from large datasets — I can help.
What I Can Do for You:
🔍 LLM & RAG Solutions – Build smart apps using LangChain, LangGraph, Gemini, OpenAI APIs
🧠 NLP & Document Intelligence – Automate info extraction, summarization, and classification
📊 Data Science & ML – Predictive modeling, classification, regression, clustering
🚀 Cloud Deployment – Deploy apps using Google Cloud Platform or Azure
📈 Dashboards & Analytics – Create interactive dashboards using Streamlit or Power BI
🧪 Highlighted Projects:
1. Prior Authorization for Medications (Healthcare NLP):
* Built a RAG-based AI pipeline to assess insurance reimbursement eligibility using EHR and drug policy data
* Tools: LangGraph, Gemini, LangChain, FastAPI, Streamlit, GCP
* Result: Cut manual review time by 40%, increased accuracy by 30%
2. Contract Validation with AI (Insurance Compliance):
* Built a document intelligence platform to extract/validate provider contract info
* Used Azure AI Search for fast semantic retrieval and deployed via Azure Cloud
* Result: Improved validation accuracy by 35%, reduced cycle time by 50%
🛠️ Tech Stack:
* Languages: Python, SQL
* AI/ML: LangChain, LangGraph, LangSmith, OpenAI, Gemini, Scikit-learn, TensorFlow
* NLP: Prompt Engineering, RAG Pipelines, Azure AI Search, FAISS
* Data Tools: Power BI, Tableau, Streamlit
* Cloud: GCP, Azure
* Others: Git, FastAPI, MySQL
📫 Let’s Connect:
I’m passionate about delivering results and building intelligent systems that make a difference.
Let’s talk about how I can bring value to your next AI or data-driven project.
Steps for completing your project
After purchasing the project, send requirements so Siva can start the project.
Delivery time starts when Siva receives requirements from you.
Siva works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis & Planning
Review client use case, documents, and define system architecture.
AI Pipeline Development
Implement summarization, transcription, and Q&A using LangChain and LLM APIs.