AI / API, CLI, Python Backend
SySi Chatbot Backend - CLI-Based AI Chatbot with Gemini API
CompletedBackend DeveloperCLI AI Chatbot
Project Overview
SySi Chatbot Backend is a Python-based command-line AI chatbot project developed to understand how chatbot backends communicate with external AI APIs and manage conversation flow.
The project integrates the Gemini API to generate AI responses through a terminal-based interface.
It supports user input handling, chat history saving, recent memory viewing, long-term memory summary, clear history command, exit command, error handling, and multiple model fallback attempts.
Key Features
- CLI-based chatbot interface
- Gemini API integration
- AI response generation
- Chat history saving
- Recent memory viewing
- Long-term memory summary
- Model fallback handling
- Error handling
- Environment variable-based API key management
- JSON-based chat history storage
- File-based memory handling
- Modular Python project structure planning
- Command-based controls
Learning Outcomes
- Practiced backend logic using Python
- Learned API key management and environment variables
- Implemented JSON-based local storage
- Practiced command-line interface design
- Learned external AI model communication workflow
- Improved error handling and fallback planning
Technologies & System Stack
Core Stack
PythonGemini APIEnvironment VariablesJSON File HandlingCommand-Line InterfaceFile-Based Memory StorageModular Python Code StructureVS CodeTerminalGitGitHubPython Virtual Environmentpip
Screenshots
SySi Chatbot project poster
SySi Chatbot interface screenshot 1
SySi Chatbot interface screenshot 2
SySi Chatbot interface screenshot 3
SySi Chatbot interface screenshot 4
SySi Chatbot GitHub repository