Mohanragul-01/ibm-course-genai-python-applications
A collection of Python demo apps from the IBM AI Course — Building GenAI Powered Applications with Python, showcasing GenAI use cases: image captioning, chatbot interfaces, voice assistants, meeting summarization, RAG PDF QA, translation, and job application coaching.
SUMMARY AI summary by gpt-5-mini
This repository is a hands-on collection of seven independent Python demo projects from an IBM AI course, intended for developers and learners building generative-AI applications. Each folder is self-contained and runnable. Key features/projects: - Image captioning: Hugging Face BLIP + Gradio. - Chatbot: local BlenderBot and Flask web interface. - Voice assistant: Groq LLM, Whisper ASR, Piper TTS. - Meeting assistant: transcript summarization with Groq + Whisper. - RAG chatbot: PDF Q&A using LangChain + Groq. - Translation assistant: speech translation/transcription with Groq + Piper. - Job application coach: resume polishing, cover letters, career advice via Groq. Includes instructions to store API keys in per-project .env files (copy from .env.example, set GROQ_API_KEY), a short Git push guide, and notes to avoid committing secrets and to use virtual environments.
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Owner
Top 10% @LeetCode || Max. Specialist @Codeforces || 3🌟 @CodeChef & @GFG
Dates
| Created on GitHub | 2026-05-09 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-09 18:13 |
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