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You will get a powerful RAG based chatbot that uses your personal data(PDFs, Emails etc)

Junaid U.Status: Offline
Junaid U. Junaid U.
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Let a pro handle the details

Buy Generative AI services from Junaid, priced and ready to go.
Junaid U.Status: Offline
Junaid U. Junaid U.
Preview imagePreview imagePreview imagePreview imagePreview imagePreview image

Let a pro handle the details

Buy Generative AI services from Junaid, priced and ready to go.

Project details

Get a RAG-Based LLM Chatbot Integrated with Advanced Language Models

This project delivers a chatbot powered by advanced large language models like GPT-4, GPT-3, Mistral, and LLaMA 3 and 2. The chatbot will also be integrated with vector embeddings and vector databases, all set up to run on your local host or server.

What You Can Do with This Chatbot:

Chat with your data and any type of documents:
- PDFs
- Emails
- Text files
- Websites
- Summarize long documents
- Chat with books
- Discuss your financial, sales, and business data
- Interact with any business-related information

Key Technologies Used in the Project:

 • LangChain LLM Framework: For managing and connecting the language models
 • LLMs: For generating text and responses
 • Vector Databases: Using Chroma, Pinecone, or Faiss to handle embeddings
 • LLMs & Vector Embeddings: From Hugging Face or OpenAI

Frontend Technologies:

 • Streamlit: For creating the user interface
 • HTML, CSS, JavaScript: For styling and functionality
 • React.js: For building a responsive and dynamic frontend


This version uses simpler language and organizes the information more clearly.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer Model
AI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, Conversational AI, Natural Language Generation
AI Development Language
Python
AI Tools
Hugging Face, PyTorch, Streamlit
AI Models
BERT, GPT-3, GPT-4, LLaMA, Stable Diffusion

What's included $150

These options are included with the project scope.

$150
  • Delivery Time 7 days
  • Number of Revisions 2
    • AI Model Integration
    • MLOps
    • Model Deployment
    • Model Documentation
    • Model Testing & Optimization
    • Natural Language Processing
    • Prompt Engineering
    • Source Code
Optional add-ons You can add these on the next page.
Fast 5 Days Delivery
+$50
Junaid U.Status: Offline

About Junaid

Junaid U.Status: Offline
AI Engineer | LLM & RAG Expert | Agentic AI | Chatbots | AI Automation
Islamabad, Pakistan - 5:28 am local time
Hi, I’m Junaid Ul Hassan, a Software Engineering graduate with 3+ years of industry experience in AI development, Generative AI, and intelligent agentic systems. I specialize in designing and deploying scalable, production-ready AI solutions that solve real business problems.

I’ve worked extensively on complex RAG architectures, AI chatbots, agentic workflows, and cloud-deployed AI applications, helping clients turn ideas into reliable, high-performance systems.

» Why Work With Me

✔ Proven AI Experience
Over three years of practical experience across AI development, machine learning, and data science, with a strong focus on LLMs and modern AI stacks.

✔ Production-Focused Approach
I don’t just build demos, I deliver robust, scalable, and maintainable AI systems ready for real-world use.

✔ Clear Communication & Reliability
You get structured updates, clean code, and solutions aligned with your business goals.

» Core Expertise
- Generative AI & Large Language Models (LLMs)
- Advanced RAG (Retrieval-Augmented Generation) Pipelines
- Agentic AI & Multi-Agent Systems
- AI Chatbot Development (Custom & Enterprise-grade)
- AI SaaS Application Development
- Computer Vision Solutions
- AWS/GCP/Azure, Docker, CI/CD, basic DevOps, monitoring, and logging
- Cloud-based AI Deployment (AWS & Google Cloud)
- MLOps / LLMOps (MLflow, Docker)

» Tech Stack & Tools

AI / ML Frameworks
- PyTorch, TensorFlow, Keras
- Scikit-learn
- LangChain, LangGraph, LlamaIndex
- Qdrant, Pinecone, PgVector
- SnowFlake, AWS Sagemaker

» Data & Development
- Python (Jupyter, PyCharm, Spyder)
- Sagemaker Studio, Amazon Bedrock
- Pandas, NumPy, SciPy
- Matplotlib, Seaborn

» Deployment & Ops

- AWS Cloud
- Docker Containerization
- Kubernates & SnowFlake
- MLflow (LLMOps)

Let’s Build Something Impactful

» Whether you need:
- A custom AI chatbot
- A high-performance RAG system
- An agent-based AI workflow, or a full AI-powered SaaS product

I’m ready to help you build it, efficiently, professionally, and at scale.

Let’s discuss your project and turn your idea into a working solution.

Steps for completing your project

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

Delivery time starts when Junaid receives requirements from you.

Junaid works on your project following the steps below.

Revisions may occur after the delivery date.

Get Dataset from Client

Clean the dataset and prepare for vector embeddings for better RAG prompts generation.

Develop Interactive RAG-Based Chat

By using this chatbot you can chat with your data.

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