Add Day 1 & 2 Reddit Analysis notebooks, PDF, and README to community contributions

week1/community-contributions/Day1_2_Reddit_Analysis/README.md

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+# Reddit Post Analyzer – GPT & Open Source Approaches
+
+This project consists of two Jupyter notebooks that demonstrate different methods for analyzing Reddit post data:
+
+- **Day 1:** `Day1_RedditAnalysis_gpt.ipynb` – Uses GPT-based sentiment and insight extraction from Reddit posts and comments.
+- **Day 2:** `day2_RedditAnalysis_opensource.ipynb` – Implements an open-source alternative for Reddit data processing and basic sentiment/thematic analysis.
+
+---
+
+## 📌 Features
+
+- Reddit post and comment scraping using PRAW  
+- GPT-based sentiment summarization and insight structuring (Day 1)  
+- Open-source sentiment and thematic analysis pipeline (Day 2)  
+- Markdown-formatted output suitable for reporting
+
+---
+
+## 🛠️ Setup Instructions
+
+### Reddit API Credentials Setup
+
+To access Reddit data, you need to create a Reddit app and obtain credentials:
+
+#### Steps to Get Your Reddit API Keys:
+
+1. Go to [https://www.reddit.com/prefs/apps](https://www.reddit.com/prefs/apps).
+2. Scroll to the bottom and click **“create another app”** or **“create app”**.
+3. Choose the **“script”** option.
+4. Fill in the following fields:
+   - **name:** e.g., Reddit Analyzer  
+   - **redirect uri:** `http://localhost:8080`  
+   - **description:** *(optional)*
+5. After creating the app, you will get:
+   - **client ID** (displayed under the app name)
+   - **client secret**
+6. Keep note of your Reddit **username** and **password** (these are used with script apps)
+
+#### Store your credentials in a `.env` file:
+
+Create a `.env` file in the root directory with the following format:
+
+```env
+REDDIT_CLIENT_ID=your_client_id
+REDDIT_CLIENT_SECRET=your_client_secret
+REDDIT_USER_AGENT=your_custom_user_agent
+REDDIT_USERNAME=your_reddit_username
+REDDIT_PASSWORD=your_reddit_password
+```
+
+These will be securely loaded into your script using the `dotenv` package.
+
+---
+
+## 🚀 Running the Notebooks
+
+Make sure to activate your virtual environment (if applicable), install dependencies, and run the notebooks cell by cell in **Jupyter Lab** or **VS Code**.
+
+---