BugByte is a social media platform where users can ask questions, share answers, and join communities to talk about topics they care about. It’s designed to make it easy to find helpful content, follow interesting people and groups, and stay updated with real-time notifications.
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🧠 Post Questions & Answers
Share knowledge by posting questions and contributing answers. -
💬 Replies and Discussions
Engage in deeper conversations with replies on questions and answers. -
👍👎 Upvote / Downvote System
Users can vote on posts to surface quality content. Each user’s reputation evolves based on their contributions. -
🎖️ Reputation System
Users earn or lose reputation points based on votes, fostering a merit-based community. -
🧑🤝🧑 User Roles
- Regular Users: Create content, interact, join communities.
- Admins: Manage users, monitor activity, moderate content.
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🏘️ Groups & Communities
- Create and manage interest-based groups.
- Browse a rich list of communities by category or popularity.
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➕ Follow / Unfollow System
Stay connected with users and communities that align with your interests. -
🔍 Search & Filtering (Powered by Elasticsearch)
Quickly find questions, answers, or users using powerful text-based and filter-based search capabilities.
The search system leverages Elasticsearch to provide a fast, scalable, and intelligent querying experience. Users can:
- Search posts by keywords, tags, or groups.
- Get typo-tolerant and ranked results based on relevance scoring.
This integration ensures highly performant and contextually accurate content discovery even with large datasets.
Our recommendation engine delivers personalized content by considering:
- Posts from followed users.
- Posts in joined communities.
- Posts from other communities to introduce content diversity.
To ensure low-latency responses, recommendations are precomputed and cached using Redis. This provides users with an immediate, relevant feed tailored to their interests and activity patterns.
Key benefits:
- Fast retrieval from Redis.
- Balanced content between relevance and exploration.
- The cache is updated whenever a new relevant post is created, ensuring users always see fresh and personalized content.
BugByte includes a real-time notification system built on Apache Kafka, enabling instant updates across the platform.
- Each user is assigned a dedicated Kafka channel.
- Users are notified when:
- Their post is answered.
- Someone replies to their comment.
- They receive votes.
- Someone they follow creates a new post.
Kafka ensures scalability and high throughput, supporting thousands of concurrent users while maintaining low-latency delivery.
| Layer | Technology |
|---|---|
| Backend | Java, Spring Boot |
| Frontend | React.js |
| Search Engine | Elasticsearch |
| Cache Layer | Redis |
| Messaging | Apache Kafka |
| Database | MySQL |
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Clone the repository
git clone https://github.com/ayman-art/BugByte.git cd BugByte -
Backend Setup (Spring Boot)
- Navigate to BugByte-backend/ directory
- Configure
application.ymlwith DB, Kafka, Redis, and Elasticsearch credentials. - Run:
cd BugByte-backend ./mvnw spring-boot:run -
Frontend Setup (React)
- Navigate to bugbyte/ directory:
cd bugbyte npm install npm start -
Elasticsearch, Redis, Kafka Ensure the services are running locally or accessible remotely.
This project is open source and available under the MIT License.