GTR 92694459
Tenders Are Invited For Develop A Cross Platform Desktop Application
ICB — International Competitive Bid
Closed
Western Asia
Tender Information
GTR Reference
92694459
Tendering Authority
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Financer Name
Self-Funded
Work Title
Tenders Are Invited For Develop A Cross Platform Desktop Application
Bid Type
ICB — International Competitive Bid
Country
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Geographical Region
Western Asia
Political Region
Arab World1,Middle East,Middle East and North Africa, MENA
Last Date of Bid Submission
19-02-2025
Closed
Work Detail
Tenders are invited for Develop a Cross Platform Desktop Application Closing Date: Wednesday, 19. Feb 2025 Intervention Sector(s): Development Remuneration range: 4000 to 5000 (USD) Duration of Contract: 6months The cross-platform desktop app should: - Be compatible with Windows 8+ and macOS 15+. - Have an accurate local speech-to-text model that supports 10+ languages. - Collect doctor behavior data to personalize the user experience. - Fetch current dental news and filter relevant articles based on user preferences. - Integrate with Google Calendar and Apple Calendar to fetch appointments. - Be integrated with the local server and the mobile application for seamless data flow. The mobile application should: - Be compatible with iOS 15+ and Android 11+. - Fetch a list of patients from the local backend. - Have real-time detection for whats happening on the desktop app. - Enable secure sharing of pictures, PDFs, and other files from the phone to the desktop. - Allow doctors to centralize messaging with patients from different platforms (e.g., WhatsApp, SMS). - Be integrated with the local server and the desktop app. - Have a user-friendly interface for a fast onboarding experience. The local backend should: - Have a built-in local text-to-speech model for real-time interaction with the doctor. - Have a secure and optimized local RAG pipeline for efficient retrieval of relevant information. - Include a secure vector database to store embeddings. - Run daily cron jobs to create and cache embeddings based on appointments. - Handle patient files securely. - Have an X-ray classification model with 90%+ accuracy. - Include a file labeling model to automatically rename and describe uploaded files. - Support WebSocket communication with the desktop and mobile apps for real-time Tender Link : https://daleel-madani.org/civil-society-directory/industrial-research-achievements-lebanon/calls/call-develop-cross-platform-desktop-application
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