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2 | 2 | **Stock Market Prediction** Web App based on **Machine Learning** and **Sentiment Analysis** of Tweets **(API keys included in code)**. The front end of the Web App is based on **Flask** and **Wordpress**. The App forecasts stock prices of the next seven days for any given stock under **NASDAQ** or **NSE** as input by the user. Predictions are made using three algorithms: **ARIMA, LSTM, Linear Regression**. The Web App combines the predicted prices of the next seven days with the **sentiment analysis of tweets** to give recommendation whether the price is going to rise or fall |
3 | 3 |
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4 | 4 | # Note |
5 | | -### Wordpress file has been moved from the repository due to exceeding quota of Github LFS. Download it now from <a href="https://drive.google.com/file/d/1aNrD43MVGyV3P2mg0JJ_JJSrM7G6G7gF/view?usp=sharing">here</a> |
| 5 | +### Wordpress file has been moved from the repository due to exceeding quota of Github LFS. Download it now from <a href="https://drive.google.com/file/d/1q1kdNBQyQTIIq9OuMuYBUgD3fni-oJQp/view?usp=sharing">here</a> |
6 | 6 |
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7 | 7 | # Screenshots |
8 | 8 | <img src="https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis/blob/master/screenshots/banner.png"> |
@@ -49,12 +49,14 @@ main.py - main machine learning module |
49 | 49 | <li>Open your web browser and go to <b>http://localhost/www</b> and click on the wordpress folders to access the web app</li> |
50 | 50 | </ol> |
51 | 51 | <br> |
52 | | -<b>Video of setup and demo is available at: </b> |
| 52 | +<b>Video of setup and demo is available <ahref="https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis/blob/master/demo.mp4">here</a> </b> |
53 | 53 | <br> |
54 | 54 |
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55 | 55 | ## Admin Credentails |
56 | 56 | **Username:** admin |
| 57 | +<br> |
57 | 58 | **Email:** stockmarketpred@gmail.com |
| 59 | +<br> |
58 | 60 | **Password:** Samplepass@123 |
59 | 61 |
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60 | 62 | # Authors |
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