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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Total AI relevance score: 65 / 100
Position among AI repos in the same language
We track 12,475 Python repos, of which 9,636 score 40 or above on AI relevance. 2,088 have more stars than this one (top 16.7%), and 3,432 score higher (top 27.5%).
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Dates
| Created on GitHub | 2026-05-09 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-08-17 16:17 |
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