Inspiration
We were overwhelmed by too many communication channels (emails, Slack, WhatsApp, etc.), and one day a missed deadline due to a buried task in an email thread made us realize.
What it does
Analyzes emails/messages using AI (sentiment, urgency, action items)
Automatically creates tasks, reminders, and priorities
Drafts AI-powered reply suggestions in user’s style
Provides a unified dashboard for all communication platforms
Detects phishing/suspicious content
Learns user behavior for personalized assistance
How we built it
Frontend: Flutter → cross-platform app (mobile + web)
Backend: Java Spring Boot → REST APIs & microservices
AI Engine: PyTorch → NLP models (BERT, T5, custom networks)
Databases: PostgreSQL (structured data) + MongoDB (messages)
Deployment: Docker + Kubernetes → scalable & containerized
Security: End-to-end encryption + phishing detection
Challenges we ran into
Cross-platform integration → Unifying email, Slack, WhatsApp, etc. under one system
NLP accuracy → Extracting correct action items and deadlines from unstructured messages
Scalability → Handling thousands of real-time messages without lag
Security & Privacy → Ensuring encryption and preventing data leaks
Personalization → Training AI to adapt to different users’ writing/response styles
Phishing detection → Differentiating between genuine and sophisticated malicious messages
Accomplishments that we're proud of
Built a working AI engine that accurately extracts action items and deadlines from real messages
Achieved 60–80% reduction in communication management time during testing
Successfully integrated multiple platforms (Email, Slack, WhatsApp) into one unified dashboard
Developed AI response drafting that adapts to user’s writing style
Implemented enterprise-grade security with phishing & threat detection
Created a scalable architecture with Docker + Kubernetes for real-world deployment
What we learned
Built a working AI engine that accurately extracts action items and deadlines from real messages
Achieved 60–80% reduction in communication management time during testing
Successfully integrated multiple platforms (Email, Slack, WhatsApp) into one unified dashboard
Developed AI response drafting that adapts to user’s writing style
Implemented enterprise-grade security with phishing & threat detection
Created a scalable architecture with Docker + Kubernetes for real-world deployment
What's next for Pro Disk
Deeper Integrations → Add support for more platforms (Microsoft Teams, Telegram, LinkedIn)
Voice & Speech AI → Convert calls/voice notes into tasks and summaries
Smart Calendar Sync → Auto-schedule meetings and reminders across calendars
Team Collaboration Features → Shared task boards and AI-powered meeting notes
Advanced Personalization → More adaptive AI that mirrors each user’s tone & style
Enterprise Expansion → Role-based dashboards, analytics, and compliance tools
AI Marketplace → Plug-in system for custom workflows (CRM, project management tools, etc.)
Built With
- dart
- flutter
- java
- mongodb
- postgresql
- pytorch
- springboot
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