I am an independent AI Researcher at AI4M&MM and Responsible Artificial Intelligence Institute. I am a AI scientist developing LLM and virtual assistants, visualization and agentic tools for scalable enterprise solutions. My projects are majorly funded by the private sectors and Venture capital funds.
Langchain, OpeanAI, Azure AI, Pinecone, Docker
Robin’s web app is looking good and functioning well, but she wanted to add more polish to it. She had been admiring images of Mars’ hemispheres and realized that the site is scraping-friendly. She would like to adjust the current web app to include all four of the hemispheres images. This requires additional scraping code to pull the high-resolution images, updating Mongo to include the new data, and altering the design of her web app to accommodate these images.
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General function to load all three data files: Wikipedia data Kaggle metadata MovieLens rating data (from Kaggle). Multiple functions perform all of the transformation steps. Remove the existing data from SQL, but keep the empty tables and then load dataframe into PostgreSQL. try-except blocks were used account for unforeseen problems that may arise with new data.
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