Rajat-dhyani /
Stock-Price-Predictor
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
72/100 healthLoading repository data…
PiyaJ7 / repository
Python project utilizing OpenCV for hands-free computer interaction, tracking eye movements via webcam to control the mouse cursor, merging accessibility with computer vision.
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This project combines computer vision with gaming to create an interactive experience where users can control the mouse cursor using their eyes. Additionally, it includes a fun bee game built using Pygame, showcasing the capabilities of the eye-controlled mouse.
python main.py
python bee.py
python -m venv mediapipe_env
# Windows
mediapipe_env\Scripts\activate
# Linux/macOS
source mediapipe_env/bin/activate
Contributions are welcome! Please feel free to submit any enhancements or bug fixes via pull requests. For major changes, please open an issue first to discuss potential changes.
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Rajat-dhyani /
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
72/100 healthhungchun-lin /
In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.
78/100 healthashishkumar30 /
The apex of my CSE tenure at UIET Kurukshetra University in 2018, This project focuses on Zerodha, involving live online trading in the NSE-BSE with real money, utilizing Artificial Intelligence techniques. The project employs Python programming, incorporating live trading bots, indicator screeners, and back testers through REST API and websockets.
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72/100 health