- Overview
- Key Features
- Screenshots
- Technical Architecture
- Implementation Plan
- Performance Metrics
- User Journey
- Future Roadmap
- Project Status
- Maintainers
- License
- Contact
ClearSky is a mobile application that transforms the way users consume trending content from BlueSky. Instead of traditional news format, ClearSky presents trends in a conversational, relatable style, making it feel like you're catching up with a friend rather than reading standard news articles.
Social media trends can be overwhelming, disjointed, and lack personal context. Traditional news aggregators feel impersonal and formal.
ClearSky bridges this gap by using advanced AI to convert trending topics into casual, friendly conversations that feel more natural and engaging.
User: "What's trending today?"
ClearSky: "Hey there! So this morning everyone's talking about that new
satellite launch - apparently it malfunctioned and now there's this whole
debate about private vs government space programs. What's wild is how the
company's stock actually went UP after the news broke!"
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ClearSky fetches the latest trending topics and posts from BlueSky, ensuring users are always up-to-date with current discussions. |
Utilizing advanced AI summarization techniques, the app rephrases trending content into a more informal, engaging tone, making information more accessible and enjoyable. |
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Clean, intuitive mobile design focused on ease of navigation and readability, optimized for on-the-go consumption. |
Analyzes user preferences and interactions to tailor trending topics and summaries to individual interests. |
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Users can engage with content through comments, likes, and shares, fostering a community around shared interests. |
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| Home Screen | Interests Page | Topics Section |
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| Top News | Settings |
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| User Analytics | Reading Analytics | Engagement Analytics |
graph TD
subgraph "Mobile Application"
A[Flutter UI] --> B[State Management]
B --> C[API Client]
A --> D[Local Storage]
D --> B
end
subgraph "Backend Services"
E[API Gateway/Load Balancer] --> F[Authentication Service]
E --> G[Content Service]
E --> H[Analytics Service]
E --> I[Notification Service]
G --> J[BlueSky API Connector]
G --> K[Content Processing Engine]
K --> L[AI Transformation Service]
J --> M[(Content Cache)]
K --> N[(PostgreSQL Database)]
H --> O[(Analytics Database)]
P[Background Tasks] --> J
P --> Q[Trend Detection Algorithm]
Q --> N
end
C --> E
I --> R[Push Notification]
R --> A
style A fill:#61DAFB,stroke:#333,stroke-width:2px
style E fill:#FF6B6B,stroke:#333,stroke-width:2px
style J fill:#6BCB77,stroke:#333,stroke-width:2px
style L fill:#4D96FF,stroke:#333,stroke-width:2px
style Q fill:#FFD93D,stroke:#333,stroke-width:2px
- UI Layer: Flutter widgets and screens
- State Management: Provider pattern or Bloc for reactive state management
- API Client: REST/GraphQL client with authentication handling
- Local Storage: SharedPreferences and SQLite for caching and offline access
- API Gateway: Manages API traffic, authentication, and routing
- Authentication Service: Handles user authentication and authorization
- Content Service: Main service for content delivery and management
- Analytics Service: Collects and processes user behavior and app usage
- Notification Service: Manages user notifications and push messaging
- BlueSky API Connector: Integrates with the BlueSky social network API
- Content Processing Engine: Processes and transforms raw content
- AI Transformation Service: Uses OpenAI to convert content to conversational format
- Trend Detection Algorithm: Identifies trending topics using time-series analysis
- PostgreSQL Database: Primary data storage for users and content
- Content Cache: Redis for high-speed content caching
- Analytics Database: Time-series database for user analytics data
- Containerization: Docker for service isolation
- Orchestration: Kubernetes for service management
- CI/CD Pipeline: Automated testing and deployment
- Cloud Provider: AWS/GCP for infrastructure hosting
The platform now features an automated daily news digest generation capability that summarizes collected news articles into an easy-to-read format.
- Categorized Content: News articles are automatically grouped by category (Technology, Business, Sports, etc.)
- AI-Powered Summaries: Uses the powerful PEGASUS model to create concise, readable summaries
- Source Attribution: Each summary includes attribution to the original source
- Publication Timestamps: Includes original publication dates when available
- Daily Updates: Digests are generated with the current date and timestamp
Run the digest generation tool with the following command:
# Generate a digest in the default location
python generate_digest.py
# Specify a custom output directory
python generate_digest.py --output-dir path/to/your/directoryThe generated digest follows this format:
# DAILY NEWS DIGEST - May 15, 2025
## TECHNOLOGY
1. [Summary of the first technology article...]
Source: TechCrunch | Date: 2025-05-14
2. [Summary of the second technology article...]
Source: The Verge | Date: 2025-05-14
## BUSINESS
1. [Summary of a business article...]
Source: Financial Times | Date: 2025-05-14
[...other categories follow...]
Digest generated on 2025-05-15 08:30:45
| Phase | Timeline | Deliverables | Status |
|---|---|---|---|
| Phase 1: Core Infrastructure | Q1 2025 |
• API connections to BlueSky • Trend detection algorithms • Database schema design |
🟡 Planning |
| Phase 2: Content Processing | Q2 2025 |
• AI text transformation • Content aggregation pipeline • Content categorization |
⚪ Not Started |
| Phase 3: Mobile App Development | Q3 2025 |
• Flutter app structure • Mobile UI components • Offline capabilities • Native integrations |
⚪ Not Started |
| Phase 4: Personalization | Q4 2025 |
• Recommendation algorithms • User activity tracking • Personalized feeds |
⚪ Not Started |
The application targets the following performance benchmarks:
- Launch Time: < 2 seconds on mid-range devices
- Feed Loading: < 1.5 seconds for initial content load
- Response Time: < 100ms for user interactions
- Offline Capabilities: Core functionality available without network
- Battery Impact: < 5% battery usage per hour of active use
- Storage Footprint: < 100MB base app size
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ │ │ │ │ │
│ App Launch & │ ──▶ │ Customization │ ──▶ │ Main Feed │
│ Onboarding │ │ Profile │ │ │
│ │ │ │ │ │
└─────────────────┘ └─────────────────┘ └────────┬────────┘
│
┌─────────────────┐ ┌─────────────────┐ ┌────────▼────────┐
│ │ │ │ │ │
│ Sharing & │ ◀── │ Interaction │ ◀── │ Content View │
│ Social Loop │ │ with Content │ │ │
│ │ │ │ │ │
└─────────────────┘ └─────────────────┘ └─────────────────┘
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This is a personal project being developed for publication as a commercial mobile application in 2025. The project is not open for public contributions at this time.
Current Development Stage: Initial Architecture Planning
amethystani |
Shricharan |
This project is licensed under a proprietary license - see the LICENSE file for details.
For questions or inquiries, please reach out to animeshmishra0567@gmail.com
© 2025 ClearSky. All Rights Reserved.