You will get a voice enabled chatbot to assist customers with any type of queries
Project details
You will get a custom AI chatbot or RAG-based assistant designed to fit your business needs. Whether you need a customer support bot, an internal knowledge assistant, or a secure private deployment, I build solutions that are accurate, scalable, and business-focused.
With expertise in LangChain, LangGraph, Hugging Face, OpenAI, and vector databases (Pinecone, Weaviate, FAISS, Milvus), I specialize in retrieval-augmented generation (RAG), prompt engineering, and LLM fine-tuning. I also offer private AI deployments on AWS, Azure, GCP, or on-premise environments to ensure security and compliance.
With expertise in LangChain, LangGraph, Hugging Face, OpenAI, and vector databases (Pinecone, Weaviate, FAISS, Milvus), I specialize in retrieval-augmented generation (RAG), prompt engineering, and LLM fine-tuning. I also offer private AI deployments on AWS, Azure, GCP, or on-premise environments to ensure security and compliance.
AI Algorithms
Multilayer PerceptronAI Applications
AI Chatbot, AI Text-to-Speech, Automatic Speech Recognition, Conversational AI, Speech SynthesisAI Development Language
PythonAI Tools
GitHub Copilot, Gradio, Hugging Face, PyTorch, Replit, StreamlitAI Models
BERT, ChatGPT, GPT-3, GPT-4, LLaMA, WhisperWhat's included $50
These options are included with the project scope.
$50
- Delivery Time 4 days
- Number of Revisions 20
- AI Model Integration
- Database Integration
- Detailed Code Comments
- Model Deployment
- Model Documentation
- Natural Language Processing
- Prompt Engineering
- Setup File
- Source Code
Frequently asked questions
About Muhammad
AI & Data Solutions Expert with Cloud experience | Chatbots, RAG, LLMs
Islamabad, Pakistan - 3:22 pm local time
With a foundation in Advanced Analytics at a leading Telecom company, I bring a proven track record of delivering end-to-end AI and data projects that generate revenue, optimize engagement, and drive strategic insights.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Understand your chatbot goals, target users, and required integrations. Collect documents, data sources, and deployment preferences.
Decide Success Criteria
Agree on "definition of done" to lock the scope of the project.