Merge branch 'rohitinu6:main' into main

.github/workflows/issue_labeler.yaml

@@ -50,7 +50,7 @@ jobs:
             -H "Accept: application/vnd.github.v3+json" \
             https://api.github.com/repos/${{ github.repository }}/labels \
             -d '{
-              "name": "level?",
+              "name": "level1",
               "color": "5319e7",
               "description": "Placeholder for difficulty level"
             }'

.github/workflows/pr_raise_checker.yml

@@ -20,7 +20,7 @@ jobs:
       run: |
         COMMENT=$(cat <<EOF
         {
-          "body": "Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. In the meantime, please ensure that your changes align with our chaotic [CONTRIBUTING.md](https://github.com/vansh-codes/ChaosWeb/blob/main/CONTRIBUTING). If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊"
+          "body": "Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. In the meantime, please ensure that your changes align with our [CONTRIBUTING.md](https://github.com/vansh-codes/ChaosWeb/blob/main/CONTRIBUTING). If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊"
         }
         EOF
         )

PROJECT_STRUCTURE.md

@@ -77,6 +77,7 @@
 ├── images/
 │   ├── 085ee2d1-3544-4bed-a558-5b0b801e806b.jpeg
 │   ├── 6c9ebb5b-a8ed-44de-8842-bf8f5c25990f.jpeg
+│   ├── Screenshot 2024-10-25 194943.png
 │   └── f23e9194-72de-438d-bd69-744667680d3e.jpeg
 ├── main.py
 ├── nifty_500.csv
@@ -85,6 +86,7 @@
 ├── repo_structure.txt
 ├── requirements.txt
 ├── sentiment_model.h5
+├── sentiment_model.keras
 ├── static/
 │   └── css/
 │       ├── home.css

README.md

@@ -1,8 +1,8 @@
 <div align="center">
 
-##  📈 Stock Price Prediction 
+<a href="https://git.io/typing-svg"><img src="https://readme-typing-svg.herokuapp.com?font=Comfortaa&size=30&duration=4000&pause=1000&color=F7F7F7&background=FFFFFF00&width=435&lines=%F0%9F%93%88+Stock+Price+Prediction" alt="Typing SVG" /></a>
 
-![Stock Prediction Model](https://raw.githubusercontent.com/alo7lika/Stock-Price-Prediction/refs/heads/main/InvestWise%20-%20Stock%20Prediction%20Model.png)
+![Stock Prediction Model](https://github.com/Karthik3904/Stock-Price-Prediction/blob/update-readme/images/Screenshot%202024-10-25%20194943.png)
 
 </div>
 
@@ -51,10 +51,11 @@ Check the project structure here [Project Structure](PROJECT_STRUCTURE.md)
 14. [📝 License](#-license)
 
 ---
+## 🌞 Overview
+This project aims to predict the stock prices of **The State Bank of India (SBI)** using various machine learning regression algorithms. By leveraging historical stock data sourced from Yahoo Finance, this project provides insights into the performance of different regression models in stock price prediction for SBI. 
 
-## 🌟 Overview
+The primary objective is to compare model accuracy and performance metrics, such as RMSE, MAE, and MAPE, across multiple algorithms, ultimately identifying the most suitable regression approach for stock price forecasting.
 
-This project focuses on predicting the stock prices of **The State Bank Of India** using machine learning regression algorithms. The dataset was collected from Yahoo Finance and contains historical stock data.
 
 ## 🛠️ Features
 
@@ -96,14 +97,21 @@ The dataset used in this project is sourced from Yahoo Finance and includes hist
 📋 requirements.txt # List of dependencies needed to run the project.
 
 
-## 🚀 How to Run
+## 🚀 How to Run `main.py`
+**Steps**:
+1.**If Flask is not installed, install it**:
+  ```bash
+  pip install flask
+  ```
+2.**Install dependencies using**:
+  ```bash
+  pip install -r requirements.txt
+  ```
+3.**Run the Flask app**:
+  ```bash
+  python main.py
+  ```
 
-1. Install dependencies using:
-   ```bash
-   pip install -r requirements.txt
-   ```
-2. Execute the notebooks in the `notebooks/` folder in the given order.
-3. Run the scripts in the `src/` folder for further analysis or model training.
 
 ## 📈 Results
 
@@ -123,15 +131,17 @@ The sequence of all the algorithms used is as follows:
 ## 📊 Performance Metrics
 
 The **Root Mean Square Error (RMSE)** of all the following 10 Regression Algorithms is provided below: 
-![image](images\f23e9194-72de-438d-bd69-744667680d3e.jpeg)
+<img src="images/f23e9194-72de-438d-bd69-744667680d3e.jpeg" alt="Performance-Metrices" width="400" height="300">
+
 
 The **Mean Absolute Error (MAE)** of all the following 10 Regression Algorithms is provided below: 
 
-![image](images\085ee2d1-3544-4bed-a558-5b0b801e806b.jpeg)
+<img src="images/085ee2d1-3544-4bed-a558-5b0b801e806b.jpeg" alt="Performance-Metrices" width="400" height="300">
+
 
 The **Mean Absolute Percentage Error (MAPE)** of all the following 10 Regression Algorithms is provided below: 
 
-![image](images\6c9ebb5b-a8ed-44de-8842-bf8f5c25990f.jpeg)
+<img src="images/6c9ebb5b-a8ed-44de-8842-bf8f5c25990f.jpeg" alt="Performance-Metrices" width="400" height="300">
 
 
 ## 🔮 Future Work

repo_structure.txt

@@ -73,6 +73,7 @@
 ├── images/
 │   ├── 085ee2d1-3544-4bed-a558-5b0b801e806b.jpeg
 │   ├── 6c9ebb5b-a8ed-44de-8842-bf8f5c25990f.jpeg
+│   ├── Screenshot 2024-10-25 194943.png
 │   └── f23e9194-72de-438d-bd69-744667680d3e.jpeg
 ├── main.py
 ├── nifty_500.csv
@@ -81,6 +82,7 @@
 ├── repo_structure.txt
 ├── requirements.txt
 ├── sentiment_model.h5
+├── sentiment_model.keras
 ├── static/
 │   └── css/
 │       ├── home.css