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Streamlit web app using custom ML models (multiple linear regression and one-to-many multiclass kernel SVM) for predicting real estate prices; Scraping and analyzing real estate listings in Serbia
streamlit is an open-source app framework for Machine Learning and Data Science teams. Create beautiful data apps in hours, not weeks. All in pure Python
This is a Python Streamlit app that takes an image as input from the user, analyzes the colors in the image, and displays the results & their hex value with a beautiful pie chart
Phishing attacks have grown to be a big problem for people and businesses in the modern digital age.SMS messages are one of the most widely used channels for phishing attempts.This project seeks to investigate the application of cutting-edge machine learning and NLP methods for the identification of phishing SMS (smishing) messages.
Indian StockPrediction WebApp [See Master Branch] : Build this web application using streamlit& deployed on streamlit which predict stock trend using facebook/meta prophet algorithim ,getting data from yahoo finance
In this project, I collected images of shirts and t-shirts from the largest Iranian e-commerce website (Digikala) and built a clothing search platform using those images, which is directly connected to the main website
PixelMagic is a web application designed for image processing, enabling users to upload an image and apply various techniques such as Super Resolution and Background Removal. Built with Python and utilizing the Streamlit library, PixelMagic offers a user-friendly interface for enhancing images or removing their backgrounds with ease.
This web app utilizing OpenAI (GPT-4) and LangChain LLM tools. Application includes an SQLite DB for login/authentication and message storage for later retrieval. Users can upload/embed their own PDF documents for chatbot reference. The user can then interact with a GPT-4 chatbot intended for the user's specified input, context, and scenario.
This code uses Streamlit and OpenCV to create a real-time facial recognition web app. It captures video, detects faces using Haar cascade classifier, and highlights them.
In this project will equip with practical skills and experience in data analysis, machine learning modeling, and creating interactive web applications using Streamlit, and provide you with a solid foundation to tackle real-world problems in the manufacturing domain.
O projeto é uma aplicação Python desenvolvida com o framework Streamlit, criada para construir uma Pokédex ao extrair dados e imagens dos Pokémon. Os dados são processados e armazenados em um arquivo CSV, permitindo a criação de uma página web interativa.