House Rocket Insights Project Web App

Bachelor's Degree Thesis. Read more here: https://bit.ly/PredictaPaper

Helps to find semantic similarity between sentences

Example Streamlit app that you can fork to test out share.streamlit.io

It's a Movie recommendation web application which is built using python programming and streamlit library using PyCharm and deployed on streamlit cloud. It's main objective is to simplify the recommendation system for any organization or a person so that he/she could get the desired movie without wasting time searching randomly.

Yoga position: a web app powered by deep learning model that identify yoga position from a photo

A railway reservation app using streamlit-python

Деплой прототипа моделей, описанных в основном проекте detecting-beer (torch, streamlit)

Определение количества позиций товара на витрине по фотографиям. (label-studio, yolov5, torch, rabbitmq, pika, docker-compose)

This is a Streamlit app that allows users to upload an image of a PAN card and detect if there has been any tampering. The app also calculates the structural similarity index (SSIM) between the uploaded image and a reference image to validate the ID.

YouTube Sentiment Analysis is a web application that analyzes the sentiment of YouTube comments, providing insights into comment sentiment using VADER sentiment analysis and interactive visualizations.

In this project, I´m using Streamlit and Streamlit Cloud to build and deploy a web application that allows users to interact with the prediction model I’ve built, a machine learning model with an f1_score of 88% on the test dataset, that uses Exploratory Data Analysis (EDA) techniques to analyze this data.

Streamlit YOLOv5 deployment template

An Open source version of FileQueryBot. Unleash the power of conversational AI on any document. Upload or link files in any format - PDF, TXT, PPTX, DOCX, and more - and let FileQueryBot answer your questions with precision and ease.

This is a Streamlit web application for predicting Telecom Churn. The app uses a trained machine learning model to predict whether a customer is likely to churn or not based on certain input features.

Visualizing glitches (transient noise events) in strain data recorded by the LIGO and Virgo gravitational-wave observatories

My Portfolio

SMS Spam Classifier Web Application which is used to classify spam and ham in text messages we receive in phones

This is Machine learning project which based on various factors like age,gender,bmi etc.. ,predicts the Medical Insurance Cost. The Dataset is taken from Kaggle and then visualized,trained and tested in Jupyter Notebook. Streamlit is used to provide user-interface.

This application is built using Streamlit to demonstrate Diabetes Prediction. It performs prediction on multiple parameters of a patient's health to predict whether they have diabetes or not.