AI Integrations

(free to use; these use only free resources)

Image to Text Extraction

Convert your meeting screenshots to text on the fly. This application uses opensource Tesseract OCR (optical character recognition) - click on the image below to try it out for yourself. Streamlit resources are provided for free and may be inactive when not in use. If so, wait for it to 'wake up'.

Github repo: https://github.com/awaresolutions/image-to-text.git (Python libraries used: streamlit, Pillow, pytesseract)

Interrogate a PDF document

Upload your favorite PDF and use the chat tool to ask questions. When you're in a pinch for time, locate just what you need quickly.

This application uses Meta's opensource Ollama local language learning models - meaning this can also be run within your local firewalls, without any API calls to cloud based large language learning models - great for for privacy, cost savings, and using the models without an internet connection. For this app, ollama is hosted through a Google Collab notebook using a GPU runtime.

Github Repo: https://github.com/awaresolutions/interrogate-a-pdf.git (Python libraries used: streamlit, pdfplumber, sentence-transformers, faiss-cpu, ollama, Pillow)

Sentiment Analyzer

Want to know how a consumer feels? This application uses mock customers reviews with ratings about Chicago parks and utilizes the 'nltk' sentiment analyzer package to analyze the reviews.

Github Repo: https://github.com/awaresolutions/sentiment-analyzer.git (Python libraries used: streamlit, pandas, nltk)

Sales Prospecting

Want to scan for leads or quickly find intel for your sales strategy? This application uses input pdf documents (eg. a City's strategic plan, or a company's 10k filing) and leverages the Ollama local LLM to locate the context and generate responses to basic prospecting questions.

Github Repo: https://github.com/awaresolutions/sales-prospecting (Python libraries used: streamlit, pdfplumber, tempfile, faiss, numpy, sentence transformers, ollama)

Compare Documents

Want to quickly compare similarities and differences between 2 documents? Identify nuances in responses between vendors, contracts and other dense documents. This application uses input pdf documents (in this example 2 Chicago restaurant menus) and leverages the Ollama local LLM to locate the context and provide a response.

Github Repo: https://github.com/awaresolutions/compare-docs (Python libraries used: streamlit, pdfplumber, tempfile, faiss, numpy, sentence transformers, ollama)

See the Weather Forecast

Want to see what the weather forecast looks like in your favorite city? This app calls the Open-Meteo API to obtain the current weather and visualizes the hourly forecast for your city selection. This is a live interactive app and may be inactive when not in use. If so, wait for it to 'wake up'.

Github Repo: https://github.com/awaresolutions/weather-forecast (Python libraries used: streamlit, requests, pandas, plotly, pytz)