There are 1 repository under steamlit topic.
This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.
This project implements a web-based chatbot using open source technology
A web app for Summer Olympics
This project is focused on analyzing WhatsApp chat logs and providing various charts and visualizations that help understand patterns and trends in conversations.
Welcome to the "IPL Win Predictor" project! This machine learning model, built using logistic regression, predicts the probability of a team winning an IPL match based on the current match situation.
This repo hosts a Streamlit app that enables users to generate and execute SQL queries on the AdventureWorks database using natural language questions via the Google Gemini API. It employs two main methods: Prompt Engineering and Retrieval-Augmented Generation (RAG) for converting questions into SQL queries.
An app which performs basic EDA
This is a Multi-page Steamlit app made with python using mysql connector and mysql we have demonstrated diffrent types of JOIN statement, Aggregate Function, SET Functions. We have also used Trigger, Proceduer, Cursor and Customised Functions in the operations.sql file.
Pharmalytics is a sales prediction application for Firstmed Pharmacy using the Prophet model and Streamlit.
Estudando sobre o uso do streamlit com geração de gráficos e dados da B3
Sample code from "Streamlit Applications on AWS CDK"
ImageLayerDecomposer – Smart Image Layer Separation for Printing & Textile Design 🎨🖨️
The FET Quest Model Portfolio Project created to explore the Generative AI and Incorporate the features of Google Gemini Pro LLM Models for Financial Analysis.
Generative-AI-with-Langchain-and-Huggingface explores cutting-edge generative AI concepts. Topics include LangChain basics, ChromaDB, conversational memory, vector databases, document Q&A with RAG, text summarization (refine chains, YT/video summarization), building LLMs, search engines, and advanced tools/agents.
This project optimizes stock portfolios by selecting up to 10 tickers and a custom date range. Using Pyomo for optimization, it minimizes risk while targeting a desired return. The app displays portfolio allocations, expected returns, risk ceilings, and stock correlation heatmaps, with data sourced from yfinance
Find your AirBnB conveniently in Vienna with a comprehensive scraped database on a web app. Created with streamlit.
SmartResumeAI is an AI-driven application designed to assist students and job seekers in optimizing their resumes for specific job applications.
Mixture-of-Agents using Groq This Streamlit
Short streamlit example showing its possbilities
Paris Mistral Hackathon - RAG for University directory
Airbnb Data Analysis and Visualization project is a comprehensive data exploration and presentation effort. It involves data collection, preprocessing, ETL work, and the creation of an interactive Streamlit user interface. The project aims to provide insights and make Airbnb data more accessible and understandable.
cold email generator using Groq, LangChain, and Streamlit that extracts job listings from company career pages and creates personalized emails with relevant portfolio links.
Industrial-copper-modeling
The DevOps Course Attendance Dashboard is a Streamlit-based tool that provides insights into attendance for a DevOps course. It segments students based on a 75% minimum attendance criterion, helping instructors track attendance trends and identify students requiring support. Feel free to adjust the wording as needed.
Developed A LLM Powered Recommendation System, Based on Instructor-XL, Google Flan / GPT3.5 and FAISS. Conducted a consumer survey to understand the problems of a consumer, created the problem statement from the insights derived from the survey.
A lightweight Node.js framework for building reactive, data-driven web apps with minimal effort.
A Streamlit app to upload images and YOLO annotations, visualizing bounding boxes easily.
A machine learning Model for prediction of Stock price of Next day. Made with Stacked LSTM model and Sentiment analysis of news of stocks