You will get Multimodal & Multilingual RAG Chatbot — Docs, Audio, Video & Web
Rising Talent
Rising Talent
Project details
I will build a custom AI chatbot for your business, starting from a simple FAQ/support chatbot to a data-powered RAG chatbot or advanced multimodal AI chatbot with voice, image/video, APIs, database, and deployment support.
The chatbot can help answer customer questions, collect leads, use your documents or website content, connect with business data, and provide smart automated responses. I can create a clean chatbot backend, simple frontend/chat widget, setup files, documentation, and source code based on the selected package.
Starter is best for simple FAQ or support chatbots. Standard is best for chatbots connected to documents, FAQs, website content, or business data. Advanced is best for multimodal or custom AI assistants with integrations, deployment, and advanced workflows.
The chatbot can help answer customer questions, collect leads, use your documents or website content, connect with business data, and provide smart automated responses. I can create a clean chatbot backend, simple frontend/chat widget, setup files, documentation, and source code based on the selected package.
Starter is best for simple FAQ or support chatbots. Standard is best for chatbots connected to documents, FAQs, website content, or business data. Advanced is best for multimodal or custom AI assistants with integrations, deployment, and advanced workflows.
AI Algorithms
Convolutional Neural Network, Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, Automatic Speech Recognition, Conversational AI, Image Analysis, Machine Translation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, NVIDIA AI Platform, StreamlitAI Models
BERT, ChatGPT, GPT-4, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$130
|
Standard
$399
|
Advanced
$799
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 3 | 5 |
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
+$50 - $250
Additional Revision
+$25
Website integration
(+ 2 Days)
+$150
Cloud deployment
(+ 2 Days)
+$300Frequently asked questions
About Waleed
AI Engineer | AI Agents | RAG | Voice AI | AI Automation
Rawalpindi, Pakistan - 1:26 pm local time
Many companies can build an AI demo or connect an application to an LLM API. The real challenge is building an AI system that works reliably with real users, integrates with existing business workflows, produces accurate outputs, controls inference costs, and is ready to scale. That’s where I focus my work.
I build AI applications, agentic AI systems, RAG pipelines, voice assistants, and intelligent automation solutions that solve real business problems, reduce repetitive work, and turn company data into useful products.
What I can help you build
• AI Agents and Multi-Agent Systems using LangGraph, LangChain, AutoGen, tool calling, persistent memory, structured outputs, and human-in-the-loop workflows
• RAG systems connected to PDFs, websites, databases, CRMs, APIs, cloud storage, and internal knowledge bases
• AI chatbots, copilots, internal assistants, AI tutors, and conversational AI applications for SaaS products, websites, customer support, and business operations
• Voice AI assistants with real-time conversations, telephony, call routing, speech-to-text, text-to-speech, and conversational workflows
• AI workflow automation for email processing, document handling, research, CRM updates, invoicing, data collection, and repetitive administrative tasks
• Always-on AI agents for monitoring, research, market intelligence, event detection, alerts, reporting, and scheduled or event-driven workflows
• LLM-powered document processing for extraction, classification, summarization, routing, OCR workflows, and structured data generation
• AI evaluation systems for automated testing, response-quality analysis, LLM-as-a-judge, trace evaluation, failure detection, and performance monitoring
• Multimodal AI applications that work with text, images, documents, audio, and voice
• Generative UI and interactive AI experiences for modern, user-friendly AI products
• Custom ML and NLP systems for classification, prediction, scoring, retrieval, recommendation, and business process automation
• FastAPI backends, REST API integrations, databases, authentication, cloud deployment, and scalable AI infrastructure
What you can expect
✓ Production-ready AI systems, not just prototypes or prompt wrappers
✓ Reliable AI agents with tool calling, memory, validation, error handling, and API integrations
✓ Accurate RAG pipelines with improved retrieval quality, citations, source traceability, and response relevance
✓ Clean, scalable, secure, and maintainable backend architecture
✓ Practical LLM cost optimization through caching, model routing, batching, and pre-generation
✓ Cloud-ready deployment with Docker, databases, monitoring, logging, and CI/CD
✓ Fast and pragmatic POC or MVP delivery without unnecessary over-engineering
✓ Clear communication, documentation, and end-to-end ownership from architecture to deployment
Core Technologies
LLMs: OpenAI API, GPT-4, Claude, Gemini, Llama, Mistral, Anthropic
Agentic AI: LangGraph, LangChain, AutoGen, multi-agent orchestration, ReAct agents, tool calling, structured outputs, persistent agent memory
RAG and Retrieval: Retrieval-Augmented Generation, embeddings, semantic search, reranking, knowledge bases, knowledge graphs, Pinecone, FAISS, ChromaDB, Qdrant, pgvector
Voice AI: Whisper, ElevenLabs, LiveKit, Twilio, Vapi, speech-to-text, text-to-speech, real-time voice agents
Backend and Data: Python, FastAPI, REST APIs, PostgreSQL, Redis, Supabase, Pydantic, JSON Schema
Automation and Integrations: Gmail API, Outlook API, WhatsApp Business API, Twilio, Zapier, n8n, Stripe, QuickBooks, CRM integrations
Cloud and Infrastructure: AWS Bedrock, Azure AI Foundry, Google Vertex AI, AWS, Azure, Google Cloud, Docker, CI/CD
I particularly enjoy projects where I can solve complex technical and business problems, design the right AI architecture, improve an existing AI product, and contribute beyond simply writing code.
I’ve worked on RAG chatbots, AI tutors, voice assistants, multimodal applications, AI agent workflows, intelligent automation systems, document-processing pipelines, and AI-powered internal tools.
Whether you have a detailed technical specification or only an initial product idea, I can help define the architecture, identify risks, build the MVP, and prepare the system for reliable real-world usage.
If you’re building an AI chatbot, RAG pipeline, AI agent, multi-agent system, Voice AI application, AI automation platform, conversational AI product, or AI-powered SaaS MVP, feel free to share your project.
Steps for completing your project
After purchasing the project, send requirements so Waleed can start the project.
Delivery time starts when Waleed receives requirements from you.
Waleed works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Planning
I will review your requirements, chatbot type, website/app, data sources, integrations, and expected workflow before starting development.
Chatbot Flow & Architecture
I will design the chatbot flow, AI response logic, data/RAG structure, and technical architecture based on your selected package.