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remiai3/
remiai_easy_9_projects_guide

Name: remiai_easy_9_projects_guide
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remiai3 — Universal AI Project Pack (9 CPU/GPU-Compatible Demos)

Each project runs on CPU-only or GPU with the same dependencies. All use Apache 2.0 / MIT licensed models.

Quick start (any project)

bash

# 1) Create env
python -m venv venv && source .venv/bin/activate  # Windows: ./venv/Scripts/activate

# 2) Install deps
pip install -r requirements.txt

# 3) Run
python main.py --help

Tip: If you have a GPU + CUDA, PyTorch will auto-use it. If not, everything runs on CPU (slower but works).

Projects

Sentiment Analysis — distilbert-base-uncased-finetuned-sst-2-english (Apache-2.0)
Named Entity Recognition (NER) — dslim/bert-base-NER (Apache-2.0)
Text Summarization — sshleifer/distilbart-cnn-12-6 (Apache-2.0)
Keyword Extraction (Embeddings) — sentence-transformers/all-MiniLM-L6-v2 (Apache-2.0)
Simple Chatbot — microsoft/DialoGPT-small (MIT)
Image Classification — torchvision.models.mobilenet_v2 (Apache-2.0)
OCR — easyocr (Apache-2.0)
Speech-to-Text — openai/whisper-tiny (MIT)
Image Captioning — nlpconnect/vit-gpt2-image-captioning (MIT)

Universal requirements

Each folder has its own requirements.txt identical across all projects. If you need CPU-only PyTorch wheels, install the default first (pip install torch) — it will fetch the right build automatically. If you already have a CUDA wheel, the scripts will use it.

System notes

FFmpeg needed for Whisper STT (brew install ffmpeg, choco install ffmpeg, or use your package manager).
TTS downloads models on first run to ~/.local/share/tts (Linux/macOS) or %APPDATA%\tts (Windows).
All code defaults to English; you can change languages in the code comments.

remiai3/remiai_easy_9_projects_guide