Pandas profiling component for Streamlit.

🏄🏼 Runtime profiler for Streamlit, powered by pyinstrument

Python streamlit app to uncover the brilliance: explore profiles, groundbreaking work, and cutting-edge research by the exceptional minds of Coventry University.

Develop a simple yet accurate Resume parsing model using pdfminer and web-app using streamlit to match candidate profiles with suitable job offers, and a chatbot to make cost-effective and efficient hiring solutions for Moroccan startups and companies using llm gpt-3.5-turbo.

Student Management System A full-stack student management application built with Flask (backend), Streamlit (frontend), MongoDB Atlas (document storage), and MySQL (relational data). This system demonstrates hybrid database architecture for managing student information and profiles.

Streamlined Development with AI An all-in-one platform integrating LLMs for code generation, reviews, documentation, testing, profiling, and security scanning. Features a Streamlit interface with vector-based indexing using Hugging Face and LlamaIndex for efficient, context-aware operations.

A Streamlit-based web application for interacting with the GetContact API. This application provides a user-friendly interface to search for contacts and view their profiles using the GetContact service.

The Automated ML web app project leverages Python along with Pandas Profiling, PyCaret, and Streamlit to provide a seamless and user-friendly experience for automating machine learning workflows. It enables users to effortlessly explore, preprocess, model, and download the trained model

A streamlined, AI-assisted platform for managing farmer profiles, crop data, and real-time weather insights using Streamlit and SQLite. Designed for smart, efficient, and modern agriculture.

A modern DISC personality assessment app built with Streamlit and Python for generating personalized DISC profiles.

A Streamlit App for Y-Data Profiling

A streamlit app based on heatpro to generate heat load profile

A Streamlit app that analyzes LinkedIn profiles and resumes using AI/NLP.

A complete data streaming pipeline using time-series COVID-19 data. The project ingests data through Apache Kafka, stores it in both MongoDB (NoSQL) and PostgreSQL (SQL), and visualizes insights via an interactive Streamlit dashboard. Includes automated EDA with YData Pandas Profiling.

The AI Resume Analyzer is a Streamlit-based application that provides detailed resume analysis, skill recommendations, job search tools, and career insights. Utilizing NLP and machine learning, it helps users identify strengths and improvement areas, suggest relevant courses, and find job opportunities tailored to their profiles.

Letterboxd Stats is a Streamlit app that provides detailed insights into your movie-watching habits on Letterboxd. It scrapes your Letterboxd profile, collects movie data, and presents various statistics, including the number of films watched, total hours spent watching movies, top directors, genres, countries, and languages. 🌟

AutomAIz is an automated Machine Learning pipeline built with Streamlit, Pandas Profiling, and PyCaret. It simplifies the process of exploring, profiling, and modeling datasets, making machine learning accessible to everyone. This repository contains the code for the AutomAIz application, along with installation instructions and usage guidelines.

This web application is build with python streamlit and this repository helps perfrom EDA(Exploratory Data Analysis ) using pandas-profiling library in python . This web application also helps to analys the target variable using it modelling functon

📊 Data-driven mutual fund allocation planner for Indian investors. Input your age, income, risk profile to receive personalized asset allocation recommendations across equity (large/mid/small-cap) and debt funds. Built with Streamlit + Python for offline financial planning.

profile maker using streamlit ( python framework )

Streamlit based tool for annalyzing Medium profiles

Automatically explore your dataset and train/compare various ML models using Streamlit, Pandas Profiling and PyCaret

This is a sample application that demonstrates how to build a classification AutoML app using Streamlit, Pandas Profiling, and PyCaret.

Streamlit-based web app to make a word cloud from a user—any user, as long as their profile is public—tweets.

This is a web application built using Streamlit that allows users to upload a CSV file and generate a data profiling report. The app utilizes the pandas library for data manipulation and the ydata_profiling library for generating detailed data profiling reports.

A tool for tracking talent transitions from employment to entrepreneurship to identify potential founders. Built with Streamlit, Supabase, OpenAI - it offers a way to include profiles in a DB and refresh them for updates.

This is the Streamlit web application that allows users to upload a dataset, generate an automated exploratory data analysis (EDA) report using the pandas-profiling library, and and train a machine learning model for regression or classification tasks.

This project is an end‑to‑end machine learning + Streamlit application that predicts annual medical insurance charges based on a person’s profile (age, BMI, smoker status, region, etc.). It covers data analysis, model training, evaluation, and cloud deployment.

This Streamlit app leverages CrewAI to help users refine their resumes and prepare for interviews based on specific job postings. By analyzing job requirements and personal profiles, the app generates tailored resumes and interview materials to enhance job application success.

A machine learning project that predicts whether a customer will churn (leave) or stay, based on their profile and service usage data. This project demonstrates end-to-end Data Science workflow: data preprocessing, model training, evaluation, and deployment with Streamlit.