This repository began as a 7th-semester minor project and evolved into our 8th-semester major project, "Advanced Stock Price Forecasting Using a Hybrid Model of Numerical and Textual Analysis." It utilizes Python, NLP (NLTK, spaCy), ML models, Grafana, InfluxDB, and Streamlit for data analysis and visualization.

This repository contains my machine learning models implementation code using streamlit in the Python programming language.

Streamlit-based Python web scraper for text, images, and PDFs. User-friendly interface for quick data extraction from websites. Simplify your web scraping tasks effortlessly.

AI_EDA_Assistant 🤖💻 is an automated web application which automatically collects 🗃️ the data and perform almost all basic tasks✅ for example checking duplicate values , null values , correlation between data and many other things within mili seconds 🕛 so get ready to understand the concepts of python and implement it 💻 and clone it. 📈

How to deploy a Streamlit web app on Heroku? You will find most of the steps here that can be used to deploy the web app

A cutting-edge AI-powered phone agent designed for seamless voice interactions, dynamic data handling, and scalable communication. Perfect for modern sales and customer engagement solutions.

This recommendation system employs content-based filtering and NLP preprocessing to suggest similar movies based on user preferences and movie data. It fetches movie posters via APIs and is deployed on Streamlit for easy access.

Contains Multipage Streamlit applications showing all steps of machine learning pipeline with additional recommendations at the end.

In this repo I have done an end to end movie recommender system which a user can pass the movie he/she wants and the machine learning model will recommend related movies for the user.

This repository contains my internship project that I made using Streamlit and Python programming language.

The objective of this project is to develop an end-to-end solution that predicts whether an employee will leave or stay in the company.

This repository contains the projects that I made in the Python programming language.

Streamlit app that combines agile sprint planning with data visualization of the Iris dataset. It helps analyze task distribution and explore key data insights interactively.

A simple banking application built using Python, OOP, JSON storage, and Streamlit UI. Users can create new accounts, log in with a secure PIN, and perform deposit, withdrawal, and balance checks across multiple banks.

Streamlit Developer Portfolio: Showcasing professional Streamlit app development and deployment services by Jose Rico. Includes projects, resources, and tools to help students, businesses, and creators build and deploy custom Streamlit applications effortlessly.

This repository contains credit card prediction project that I made using Streamlit and Python programming language.

This repository hosts the CSVTU GPT app, a Streamlit-based interactive application designed to provide efficient access to subject-specific academic information and resources. It supports functionalities like fuzzy matching, exact word matching, and syllabus search capabilities, enabling users to query data conveniently.

Website that helps recommend movies

🌍 An AI-powered Carbon Footprint Calculator built with Python, TensorFlow (CNNs), and Streamlit. Delivers real-time emission predictions, visual insights, and country-wise comparisons from user lifestyle data. Adaptive, scalable, and designed to drive sustainability through intelligent software solutions.

A machine learning application deployed on Streamlit Cloud that predicts obesity levels using an XGBoost model. The app collects user health and lifestyle data, analyzes it, visualizes BMI and feature importance, and provides personalized recommendations through an intuitive, modern interface built with Plotly and Streamlit.