You will get Multimodal & Multilingual RAG Chatbot — Docs, Audio, Video & Web
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 | Generative AI, LLMs, RAG, AI Agents | AWS, GCP & MLOps
Rawalpindi, Pakistan - 12:14 am local time
Many companies can build an AI demo. The real challenge is building an AI system that works reliably with real users, integrates with existing workflows, and is ready to scale. That’s where I focus my work.
I build AI systems that solve business problems, automate workflows, and turn company data into useful products.
What I can help you build:
• AI chatbots for SaaS products, websites, customer support, and internal tools
• RAG systems connected to PDFs, websites, databases, CRMs, and knowledge bases
• AI agents with tool calling, memory, workflow automation, and API integrations
• Voice AI assistants with real-time conversations, telephony, speech-to-text, and text-to-speech
• AI copilots, tutors, internal assistants, and multimodal applications
• Generative UI experiences for more interactive and user-friendly AI products
• Custom ML/NLP solutions for classification, extraction, prediction, and automation
What you can expect:
✓ Production-grade solutions, not just prototypes
✓ Clean and scalable backend architecture
✓ Reliable deployment and cloud-ready implementation
✓ Practical AI solutions aligned with business goals
✓ Strong communication and smooth collaboration
✓ End-to-end ownership from planning to deployment
Core technologies:
• LLMs: OpenAI, Claude, Gemini, Llama, Mistral
• Cloud AI: AWS Bedrock, Azure AI Foundry, Google Vertex AI
• Frameworks: LangChain, LangGraph, AutoGen
• Retrieval: Pinecone, FAISS, ChromaDB
• Voice AI: Whisper, ElevenLabs, LiveKit, Twilio, Vapi
• Backend: Python, FastAPI, REST APIs, Docker
• Cloud: AWS, Azure, Google Cloud
I particularly enjoy projects where I can solve complex problems, build products that create real business value, and contribute beyond simply writing code.
I’ve worked on systems such as RAG chatbots, AI tutors, voice assistants, multimodal applications, agent workflows, and intelligent automation tools.
If you’re building an AI chatbot, RAG pipeline, AI agent, Voice AI application, or AI-powered MVP and need something built for real-world usage rather than a quick prototype, 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.