fickya1987 Goto Github PK
Type: User
Type: User
A Streamlit app for a Customer Segmentation Project using K-means Clustering, RFM (Recency, Frequency, Monetary) analysis, and Association Rule Mining..
test installation of streamlit app
This project focuses on predicting the income of individuals based on a diverse set of demographic and socio-economic features. Using the Adult Income dataset, I used a Random Forest model to address this classification task.
AI-driven web application for precise crop demand forecasting, utilising advanced technologies and data-driven methodologies to optimise resource allocation in the agricultural supply chain, fostering sustainable practices, and enhancing economic efficiency.
An AI-powered storytelling video generator that takes user input as a story prompt, generates a story using OpenAI's GPT-3, creates images using OpenAI's DALL-E, adds voiceover using ElevenLabs API, and combines the elements into a video.
"DressMeUp" project utilizes fashion images and color combinations to achieve image classification for clothing combinations. Algorithms include SGD (SVM), Passive Aggressive Classifier, ResNet50 CNN, and EfficientNetV2-S CNN with K-Means for color analysis. Achieved accuracy exceeds 90%. Built with Python, Scikit-Learn, TensorFlow, and Streamlit.
Revolutionary Supply Chain Intelligence Software: Empowering smart and efficient operational management for supply chain companies
This Streamlit application aims to provide weather forecasts by leveraging the OpenWeatherMap API and generate insightful responses using a Groq-hosted open-source AI model.
A research assistant for Google Scholar using a Streamlit application.
A multi-objective non-linear model based on the Indian Air Cargo Industry covering the aspects of fleet assignment, rotation and route planning and scheduling;
A data analysis and visualization project focused on air quality data. It includes code for data wrangling, exploratory data analysis (EDA), and a Streamlit dashboard for interactive data exploration. The project aims to provide insights into air quality patterns, correlations, and trends in a specific region based on available data.
Air Quality Index prediction using Random forest model and Streamlit
Air Quality Prediction Web Implementation using Streamlit
Final project realized during Data Analytics Bootcamp @ Ironhack Paris
This Streamlit app provides an intuitive interface to explore air pollution data for any city worldwide. It utilizes the OpenWeatherMap API to fetch current and forecasted air quality information, offering valuable insights into pollution levels and trends.
This project is a Streamlit-based web application designed for text data analysis. It provides users with various functionalities to analyze and manipulate text data from CSV files. Users can filter data by sentiment, find similar words, generate word clouds, and export data to Excel files while considering Excel's row limitations.
This Streamlit dashboard provides a comprehensive analysis of supply chain data, focusing on key metrics such as production volumes, stock levels, order quantities, revenue, manufacturing costs, lead times, shipping costs, transportation routes, risk factors, and sustainability factors
this project depicts line graphs between several climatic factors and pm2.5. it is basic and simple webapp made using streamlit.
This app enabling users to either record or upload audio files. Then utilizing OpenAI API (Whisper, GPT4) generates transcriptions, summaries, fact checks, sentiment analysis, and text metrics. Users can also intelligently chat about their transcriptions with a GPT4 chatbot. Data is stored relationally in SQLite and also vectorized in Pinecone.
This Python script leverages the power of OpenAI and MoviePy to create engaging quiz videos.
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
A WebApp powered by Streamlit, to get insight on customer's behaviour in a Bakery Shop
This Project is helpful in predicting the Bankruptcy Prevention Classification based on the available data. By implementing different Machine learning algorithms such as Logistic Regression, Naïve Byes , KNN , SVM , Decision Tree Classifier , Random Forest Classifier .
A mockup bookkeeping app with basic functionality for demonstration purposes. It is built with Streamlit. Manage clients, invoices, and expenses. It's designed to help individuals or small businesses keep track of financial transactions and generate invoices.
This repository contains the code for a Business Analytics Dashboard built with Streamlit. The dashboard provides various analytical tools and visualizations for policy data analysis, including summary statistics, trends, and progress tracking.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.