You will get Custom ChatGPT Bot for Websites & Documents
Rising Talent
Project details
Get a Custom ChatGPT Bot That Knows YOUR Content - Trained on Documents & Websites!
Tired of generic chatbots that can't answer specific questions? I build AI-powered chatbots using OpenAI + LangChain that understand YOUR unique content. Perfect for:
• ✅ Customer support bots trained on your knowledge base
• ✅ Internal document Q&A systems (PDFs, Word, etc.)
• ✅ Website-specific assistants that never say "I don't know"
Why My Bots Outperform Others:
🔹 Precision Answers: Uses RAG (Retrieval-Augmented Generation) to pull exact info from your documents
🔹 Zero Hallucinations: Cites sources to verify every answer
🔹 Multi-Platform Ready: Deploys on websites, Slack, Discord, or as standalone apps
🔹 Enterprise Security: Optional private hosting (AWS/Azure) for sensitive data
Tech Stack:
» OpenAI GPT-4 Turbo · LangChain · LlamaIndex · Pinecone/FAISS
» Supports: PDFs, Word, Confluence, Notion, Websites (scraping), APIs
You Get:
[✔️] Full source code + deployment instructions
[✔️] 30-day free support & bug fixes
[✔️] 3 rounds of free refinements
Tired of generic chatbots that can't answer specific questions? I build AI-powered chatbots using OpenAI + LangChain that understand YOUR unique content. Perfect for:
• ✅ Customer support bots trained on your knowledge base
• ✅ Internal document Q&A systems (PDFs, Word, etc.)
• ✅ Website-specific assistants that never say "I don't know"
Why My Bots Outperform Others:
🔹 Precision Answers: Uses RAG (Retrieval-Augmented Generation) to pull exact info from your documents
🔹 Zero Hallucinations: Cites sources to verify every answer
🔹 Multi-Platform Ready: Deploys on websites, Slack, Discord, or as standalone apps
🔹 Enterprise Security: Optional private hosting (AWS/Azure) for sensitive data
Tech Stack:
» OpenAI GPT-4 Turbo · LangChain · LlamaIndex · Pinecone/FAISS
» Supports: PDFs, Word, Confluence, Notion, Websites (scraping), APIs
You Get:
[✔️] Full source code + deployment instructions
[✔️] 30-day free support & bug fixes
[✔️] 3 rounds of free refinements
AI Algorithms
Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, Conversational AI, Facial Recognition, Image Recognition, Machine Translation, Neural Machine Translation, Object Detection, Sentiment Analysis, Text Recognition, Time Series AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Hugging Face, Jasper AI, Microsoft 365 Copilot, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-J, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$160
|
Standard
$210
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 14 days |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | ||
Model Deployment | - | ||
Model Documentation | - | - | |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $50Frequently asked questions
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UD
Udo D.
Apr 29, 2026
Data Analysis for Visualisation
MB
Marzieh B.
Dec 15, 2025
AI Engineering
About Abdul
AI Engineer (With 5+ year Experience)
100%
Job Success
Islamabad, Pakistan - 6:48 am local time
What I Build Custom AI agents with real orchestration (LangGraph and the OpenAI / Claude agent SDKs), tool use, memory, and MCP integrations that connect agents to Slack, Google Drive, CRMs, and internal databases. Voice agents built on LiveKit, Vapi, or Retell, with Deepgram speech-to-text, ElevenLabs or Cartesia voices, and telephony (SIP / Twilio), tuned for sub-second latency and natural turn-taking so callers don't feel like they're fighting a robot.
Chatbots and RAG systems done properly: chunking, embeddings, vector databases (Pinecone, pgvector), and reranking, so answers stay grounded in your data instead of hallucinated. LLM integration and fine-tuning across Claude, OpenAI, and open models (HuggingFace), including fine-tuning on your own data when an off-the-shelf model isn't enough.
Backends and full-stack work in Python (FastAPI) and React / Next.js, with the databases, APIs, auth, and deployment to back them. And workflow automation with n8n, Make .com, and Zapier when a managed workflow is the right call, and custom code when it isn't.
What Separates This From a Quick Prototype I build evals so you can measure accuracy, guardrails so the AI behaves safely, observability so you can see what it's doing in production, and latency and cost optimization so it stays fast and affordable as you scale.
Recently Shipped A support chatbot that now resolves around 90% of customer questions on its own, freeing the owner from working weekends. An automated CRM that nurtures leads on autopilot so the sales team closes instead of doing data entry. OCR pipelines for EA Sports using AI vision models.
How I Work I don't hand off a black box and disappear. I explain the architecture in plain language, document what I build, and stick around after launch to make sure it keeps performing.
5+ years experience | Full-stack AI engineer who builds systems that hold up in production
If you're building an AI agent, a voice assistant, or an LLM-powered product, send me a short note on what you're trying to solve and I'll tell you honestly how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Abdul can start the project.
Delivery time starts when Abdul receives requirements from you.
Abdul works on your project following the steps below.
Revisions may occur after the delivery date.
Define Goals
What questions should it answer? (e.g. "Handle customer returns policy queries")
Testing Phase
I'll share demo link in 3-5 days for feedback