{"id":24107589,"url":"https://github.com/tanmay-chandgude/quantify","last_synced_at":"2026-02-26T01:49:14.458Z","repository":{"id":271374293,"uuid":"912947005","full_name":"Tanmay-Chandgude/Quantify","owner":"Tanmay-Chandgude","description":"A dynamic analytics module that leverages DataStax Astra DB and Langflow to analyze and provide insights on social media engagement data.","archived":false,"fork":false,"pushed_at":"2025-01-07T09:42:31.000Z","size":70,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-07T10:35:51.052Z","etag":null,"topics":["astradb","datastax","gpt-4","langflow","model","social-media","typescript"],"latest_commit_sha":null,"homepage":"","language":"TypeScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Tanmay-Chandgude.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-01-06T18:07:09.000Z","updated_at":"2025-01-07T09:42:34.000Z","dependencies_parsed_at":"2025-01-08T21:02:22.931Z","dependency_job_id":null,"html_url":"https://github.com/Tanmay-Chandgude/Quantify","commit_stats":null,"previous_names":["tanmay-chandgude/quantify"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tanmay-Chandgude%2FQuantify","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tanmay-Chandgude%2FQuantify/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tanmay-Chandgude%2FQuantify/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tanmay-Chandgude%2FQuantify/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Tanmay-Chandgude","download_url":"https://codeload.github.com/Tanmay-Chandgude/Quantify/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241089053,"owners_count":19907677,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["astradb","datastax","gpt-4","langflow","model","social-media","typescript"],"created_at":"2025-01-10T22:39:45.506Z","updated_at":"2026-02-26T01:49:09.423Z","avatar_url":"https://github.com/Tanmay-Chandgude.png","language":"TypeScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# **Quantify**\n\nAnalyze and visualize engagement metrics for social media posts using advanced analytics and data visualization techniques.\n\n---\n\n## **Table of Contents**\n- [Project Overview](#project-overview)\n- [Features](#features)\n- [Tech Stack](#tech-stack)\n- [Dataset](#dataset)\n- [Installation](#installation)\n- [Usage](#usage)\n- [Screenshots](#screenshots)\n- [Contributing](#contributing)\n- [License](#license)\n- [Acknowledgments](#acknowledgments)\n\n---\n\n## **Project Overview**\n\nQuantify provides actionable insights into social media engagement data. This project utilizes a mock dataset of social media posts, allowing you to:\n- Analyze post performance.\n- Understand engagement patterns across platforms.\n- Extract valuable insights for optimizing social media strategies.\n\n---\n\n## **Features**\n### Engagement Metrics\n- Analyze likes, comments, shares, saves, and views for each post.\n  \n### Sentiment Analysis\n- Evaluate post comments' sentiment (positive, neutral, negative).\n\n### User Demographics\n- Understand engagement patterns across age groups, genders, and locations.\n\n### Platform Insights\n- Compare performance across Instagram, Facebook, and Twitter.\n\n### Hashtag Effectiveness\n- Discover the impact of hashtags on engagement rates.\n\n### Temporal Trends\n- Identify peak engagement times and optimize posting schedules.\n\n---\n\n## **Tech Stack**\n\n- **Frontend**: React.js (TypeScript), Vite, TailwindCSS\n- **Backend**: Node.js, Express.js\n- **Database**: DataStax Astra DB\n- **AI Analytics**: Langflow with GPT Integration\n- **Visualization**: Chart.js, Recharts\n- **File Parsing**: Papa Parse\n\n---\n\n## **Dataset**\n\nThe mock dataset includes:\n- **Post Details**: Type, content length, hashtags.\n- **Engagement Metrics**: Likes, comments, shares, saves.\n- **User Info**: Age, gender, location.\n- **Sentiment Analysis**: Positive, neutral, negative.\n- **Platform and Time Trends**: Platform-specific and peak times.\n\n---\n\n## **Installation**\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/your-username/quantify.git\n   cd Quantify\n   ```\n\n2. Install dependencies:\n   ```bash\n   npm install\n   ```\n\n3. Set up the database:\n   - Create an account on [DataStax Astra DB](https://www.datastax.com/astra).\n   - Obtain credentials and update the `.env` file.\n\n4. Start the development server:\n   ```bash\n   npm start\n   ```\n\n---\n\n## **Usage**\n\n1. Upload a CSV dataset through the app's interface.\n2. Explore insights with:\n   - Visualized metrics and trends.\n   - Sentiment and demographic analysis.\n   - Comparison across platforms.\n\n---\n\n## **Contributing**\n\nContributions are welcome! Please follow these steps:\n1. Fork the repository.\n2. Create a new branch:\n   ```bash\n   git checkout -b feature-name\n   ```\n3. Commit your changes:\n   ```bash\n   git commit -m \"Add feature-name\"\n   ```\n4. Push and open a pull request.\n\n---\n\n## **License**\nThis project is licensed under the [MIT License](LICENSE).\n\n---\n\n## **Acknowledgments**\nSpecial thanks to:\n- [Langflow](https://langflow.org) for AI capabilities.\n- [DataStax Astra DB](https://www.datastax.com/astra) for database support.\n- Open-source libraries and the developer community.\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftanmay-chandgude%2Fquantify","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftanmay-chandgude%2Fquantify","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftanmay-chandgude%2Fquantify/lists"}