function-calling-using-llms

A Streamlit + Firebase app that uses Gemini function calling to automate pharmacitical tasks for both Admin + Customers.

🤖 AI-powered function calling engine using a LLM to convert natural language prompts into validated JSON function calls.

Train gemma on your codebase

Reliable tool calling for small local LLMs (Llama 3, Mistral) on Ollama and llama.cpp. Zero dependencies, bounded model calls, no eval.

An asynchronous event-processing pipeline leveraging Gemini SDK function calling to parse natural language meeting requests into Google Calendar events. Built with FastAPI, Celery, Redis, and PostgreSQL for enterprise-grade background task execution, state persistence, and automatic scheduling.

LocalAI-FunctionCaller is a Python-based system that runs large language models (LLMs) locally and uses constrained decoding to intelligently select and execute functions based on user requests. It takes function definitions (name, description, parameters) and prompts as JSON, enabling the LLM to reason about which function to call without leaving

Uni Navigator: An emotionally intelligent academic co-pilot that adapts your study schedule to your mood.

AI Engineering Portfolio — RAG, Agents & MCP