snehamaskuri06/Chatbot-using-Rule-Based-Logic
A simple AI Chatbot built using Python. This chatbot can respond to greetings, tell date and time, perform basic calculations, give motivational messages, and answer simple questions using conditional statements, loops, and Python modules like datetime and random.
SUMMARY AI summary by gpt-5-mini
A compact, rule-based chatbot implemented in Python. It’s intended as a learning/example project for beginners who want to see how simple conversational logic can be built without machine learning. The bot responds to greetings, reports the current date and time, performs basic arithmetic calculations, provides motivational messages, and answers a small set of simple questions. Implementation relies on conditional statements and loops plus standard modules such as datetime and random. Key features: deterministic rule-based replies, interactive CLI-style usage, minimal dependencies, and clear structure suitable for extension or classroom demonstration.
Language breakdown (by bytes)
Why this is classified AI-related
The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology
Total AI relevance score: 75 / 100
Position among AI repos in the same language
We track 12,540 Python repos, of which 9,686 score 40 or above on AI relevance. 2,094 have more stars than this one (top 16.7%), and 562 score higher (top 4.5%).
Owner
Dates
| Created on GitHub | 2026-05-24 |
| Last push | 2026-05-24 |
| First seen here | 2026-05-24 |
| Last fetched | 2026-08-19 16:17 |
Similar repos (same language)
A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。
Sophomoresty/gemini-web2apiConvert Google Gemini web into OpenAI-compatible API. Zero auth, cross-platform, single file.
AminBlg/SimpleEnglishAgent skill: make LLMs write docs in ASD-STE100 Simplified Technical
ray-r-ren/agent-apprenticeshipThe living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.
Intuition-Lab/personal-modelBuild your HUMAN.md.
Alisa0808/vox-directorTurn one topic into a finished Vox-style paper-collage explainer/ad video — automated end to end on Atlas Cloud + ffmpeg. An agent skill.
beizhu-1209/AIHelms企业级 AI 资源纳管平台,提供统一 AI网关、Token调度能力,纳管 OpenAI、Azure、Claude、DeepSeek 等主流模型,并支持 MCP 工具与 Skill 的集中注册分发。具备内外双轨定价、成本归因、统一身份认证、安全审计与效能报表,帮助企业精准控制成本、量化 ROI,高效治理 AI 资产。
lonr-6/cc-desktop-switchLightweight desktop tool for configuring DeepSeek, Kimi, Zhipu GLM and Bailian providers in Claude Desktop.