This repository contains the implementation of a no-code chatbot developed using IBM Watsonx Assistant, created as part of my internship under the AICTE Edunet Foundation Program in collaboration with IBM Cloud and IBM SkillsBuild. The solution demonstrates how enterprise-grade AI assistants can be built using visual tools—without writing a single line of backend code.
By integrating Watsonx.ai foundation models through Prompt Lab, the chatbot is capable of understanding and responding to user inputs with greater contextual intelligence and natural language capabilities.
- 🧠 No-Code Development: Built entirely using IBM Watsonx Assistant's visual interface
- ☁️ Cloud Hosted: Deployed on IBM Cloud for scalability and availability
- 🔍 Custom NLP Elements: Tailored intents, entities, and dialog flows for contextual conversations
- 🛠️ AI-Enhanced Dialogs: Integrated with Watsonx.ai foundation model via Prompt Lab
- 📲 Multi-Channel Ready: Easily deployable to websites, apps, or messaging platforms
| Path | Description |
|---|---|
README.md |
Overview and setup instructions |
chatbot-design.md |
Detailed chatbot design and flow documentation |
screenshots |
UI screenshots of chatbot interactions |
.gitignore |
Specifies untracked files/folders for version control |
.gitattributes |
Define attributes for paths in your project. |
This chatbot project was developed during my 4-week virtual internship at IBM Cloud, where I explored emerging technologies in AI and Cloud Computing. My objective was to evaluate how IBM Watsonx tools—especially no-code frameworks—can accelerate the development of real-world AI solutions, even for those with minimal coding background.
Mohammed Tadveed Rehan
💻 GitHub
For inquiries, collaborations, or feedback, feel free to connect!