What's included

• AI-Powered Assistant Backend

  A Python-based backend (FastAPI or Flask) that powers a conversational AI assistant. Handles prompt routing, data input/output formatting, and integrates with your chosen LLM (OpenAI, Claude, or Ollama).

• Structured Data Parser

  Custom logic to extract and clean data from PDFs, spreadsheets (Excel), or raw text. Outputs structured formats like JSON or database-ready objects, ready for further automation or use in your system.

• Prompt Engineering + LLM Behavior Design

  Custom system and user prompt chains tailored for your use case. Ensures consistent assistant behavior, smart suggestions, and safety-guarded outputs across different LLM platforms (GPT-4, Claude, Mistral, etc.).

• Conversational UI

  Lightweight frontend interface (Streamlit or React scaffold) to interact with the assistant. Useful for internal teams or demo workflows, supporting input, context tracking, and live response output.

• API & Tool Integrations

  Built-in validation and fallback handling to catch malformed input, config issues, or ambiguous responses. Flags problems and provides either user-facing clarification prompts or internal logs.

• Deployment & Handoff

  Fully packaged deliverable with deployment instructions (Docker optional), code walkthrough, and integration notes. Includes documentation or a handoff call to ensure your team can maintain and extend the system.