I will build a custom ai voice assistant or rag system using python


About this gig
Are you looking to integrate next-generation AI into your business?
I specialize in building custom AI workflows, from integrating API endpoints to developing complex Agentic Retrieval-Augmented Generation (RAG) pipelines. Whether you need a Python script to automate text generation or a custom desktop voice assistant with speech-to-text, text-to-speech, and advanced tool-calling capabilities, I engineer reliable, high-performance solutions.
What I Offer:
- LLM API Integrations: Seamlessly connecting Gemini, OpenAI, or Langchain to your existing backend architecture.
- Agentic RAG Systems: Building intelligent pipelines with vector embeddings and document indexing so the AI securely interacts with your proprietary data.
- Custom Voice Assistants: End-to-end Python desktop assistants configured for complex command execution and workflow automation.
Why Choose Me? I focus on writing clean, modular, and maintainable code. Every premium project includes detailed code comments and robust error handling to ensure your deployment runs smoothly.
Let's modernize your workflow! Send me a message, and let's discuss your system requirements before you order.
Get to know Kartik G
Backend Software Engineer
- FromIndia
- Member sinceSep 2026
Languages
Marathi, English, Hindi
My Portfolio
FAQ
Do I need to provide my own API keys?
Yes, you will need to provide your own API keys (such as Gemini or OpenAI) for the final deployment so you control your own usage and billing. I can guide you on how to generate them if needed.
Can the RAG system read my company's specific PDFs and documents?
Absolutely. I will configure the vector database to index your specific PDFs, text files, or database records so the AI generates answers based exclusively on your secure context.
Will I get the full source code?
Yes, all three packages include the complete Python source code. The Premium tier also includes extensive code comments for easier long-term maintenance.
