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RohinJ444 / NEPA_TextClassification

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Classifies the presence of key exogenous variables in projects subject to federal NEPA (National Environmental Policy Act) review using NEPA environmental permitting reports (EISs) as input, and LangChain, Pinecone, and OpenAI API (GPT-4) to parse the reports efficiently with low costs ($0.40/report, on average) and high (>85%) correctness.

nlp machine-learning classification-model environmental-data openai-api langchain-python pinecone-client
  • Updated Sep 25, 2024
  • Jupyter Notebook

presiZHai / fitness-ai-assistant

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A user-friendly RAG-powered fitness assistant — a conversational AI that understands your fitness goals, experience level, and equipment availability. It can help you select the perfect exercises, suggest alternative options, and keep you motivated to stay consistent with your routine, making fitness more accessible and personalised.

nodejs javascript python firebase reactjs material-ui openai firebase-database pinecone conversational-ai firestore vector-database openai-api clerk retrieval-augmented-generation clerkjs clerk-auth nextjs14 pinecone-db pinecone-client
  • Updated Sep 8, 2024
  • Jupyter Notebook

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