Found 51 repositories(showing 30)
Kumar-laxmi
Stock Prediction System is a ML based website designed using Django's Framework and CSS's BootStrap Framework (NOTE: ALL THE DEPLOYMENTS ARE CURRENTLY DOWN)
kashyaprparmar
Stock Market Prediction system in Python and Java (Web based desktop application)
Rayyan-Oumlil
Stock price prediction application with interactive web interface. Features multiple ML models (Linear Regression, Random Forest), 19+ technical indicators, alerts system, and real-time market data visualization.
darshansadashiva
The Stock Price Prediction System is a web-based application that combines machine learning and real-time data retrieval to forecast stock prices. Built using Python's Flask framework and powered by Keras, the system provides users with predictive insights based on historical stock data
tantastocks
Abstract In this project we propose a learning-based stock market information system for stock prices prediction and customer satisfaction estimation to help stock market clients decide their investment. For future prices prediction, we use time series models that are trained using historical stock data of different companies. Particularly, ARIMA model is used for monthly prediction and FBprophet model is used for daily prediction. For customer satisfaction estimation, we analyze and process customer reviewing tweets using sentiment analysis and natural language processing to predict a score indicating the percentage of satisfaction about certain company. Also, in this project, we propose an enhanced approach that combines customer reviews with historical data to improve stock prices prediction using convolutional neural networks or polynomial regression. Model results are analyzed, and comparisons are made between different approaches to determine best model to be adopted for each problem. Finally, we develop a web application with suitable user interface and expressive analyzing graphs for convenient use of our system. As a proof of concept, all of our work is practically applied on stocks and reviewing tweets of different ten global companies.
RohanPatil2
This web application predicts stock prices using advanced machine learning techniques and integrates real-time Twitter sentiment analysis powered by a custom BERT model. It dynamically visualizes historical and predicted data while offering insights drawn from social media trends
Lamz16
Stock management application with stock prediction system features
cdeck3r
Practical exercise in ML system engineering with an application to stock market prediction
SamyakMishra072
A comprehensive React application with Clerk authentication for predicting stock prices using AI/ML models. This system provides interactive charts, historical data visualization, and future price predictions for top Indian stocks.
sahrudaisunkara
This project is a stock market prediction system that leverages deep learning (LSTM) and classical technical indicators to predict the next trading session’s High and Low prices for multiple stocks. The system integrates live market data from Yahoo Finance and provides predictions through an interactive Streamlit web application.
theDALEX
The Simple Stock Management System (SSM System) is a robust web application tailored for small-scale shop owners. This intuitive tool aims to simplify inventory management and empower shop owners with actionable insights through sales data visualization and sales prediction.
An end-to-end time series forecasting system that predicts stock closing prices using LSTM neural networks. Historical data is fetched via Yahoo Finance, preprocessed for sequence modeling, and deployed as an interactive Flask web application with real-time prediction and visualization of future price trends.
shrutikhannukar
No description available
Priyanshu927
# Stock Price Predictor 📊 ML-based web app for predicting stock prices using Django and scikit-learn. Features: - Linear Regression predictions - PAN + OTP authentication - CSV dataset support - Real-time forecasting - Interactive visualizations Tech: Django | Python | scikit-learn | Pandas Academic Project | SDG 8, 9, 17
itzzzrayyy
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siddharthpalanisamy
No description available
YP26062003
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revoke0007
No description available
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Nikhilpogaku
No description available
kiran-kumar45
No description available
A Stock Prediction System Application is a machine learning (or deep learning) project designed to predict future share prices or market trends based on historical financial data and additional market variables.
No description available
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AdityaPandey05
This is a project based on stock prediction website , really helpful in real life
Sowmyashreem557
No description available
Saksham-Singh-307
No description available
Ankush-Khatiwadaa
Stock Analysis and Prediction App: A Django-based web application for real-time stock analysis and prediction. It features user authentication, dynamic stock data visualization, LSTM and ARIMA models for stock price forecasting, and a feedback system. Built with Django, yFinance, TensorFlow, and Plotly.
Anju787
Developed ”Stock Sage,” a web application that predicts stock prices for companies like Google and Tesla using historical stock data. The system compares models like LSTM, SVM, and Random Forest to determine the most accurate prediction.