About Software Development Hub

Software Development Hub, or SDH for short, is a company that unites motivated like-minded software development experts. We deliver digital health, education, e-accounting, and logistics business software for the partners worldwide.

Our goal is to architect efficient software solutions that would suit your business needs best. To reach it we rely on cutting-edge technology stack, diligence at work and the 3 following principles: 

Main technologies:

Locations

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Headquarter
  • Location

    Pushkinska 32 Kharkiv Kharkiv Ukraine 61057

Focus Area

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Software Development Hub's Technical Expertise

iOS - iPhone 30%
Android 60%
iOS - iPad 10%

Focus Client

  • Small Business (<$100000) 85%
  • Medium Business ($100001 - $500000) 15%

Software Development Hub's Industry Expertise

  • Healthcare & Medical 40%
  • Consumer Products 20%
  • Enterprise 20%
  • Transportation & Logistics 10%
  • Ecommerce 5%
  • Travel & Lifestyle 5%

Portfolio

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AI-Driven Chatbot for Parking Space Identification

AI-driven chatbot designed to identify unoccupied spaces in a parking lot using image recognition techniques. The system leverages a camera installed to cover parts of the parking lot and processes images to determine vacant spots.  The AI-driven chatbot for identifying unoccupied parking spaces demonstrates the effective use of image processing and AI techniques in solving real-world problems. By leveraging a camera-based system and sophisticated algorithms for image analysis, the solution provides a practical and user-friendly way for drivers to find available parking spaces, thereby enhancing the parking experience and optimizing space utilization. FEATURES The parking lot has two types of spaces: parked (occupied) and un-parked (vacant). AI image processing. The camera sends the captured image to the program at regular intervals. The program processes the image to identify unoccupied spaces. Vacant spaces are marked with a red rectangle and recorded in the database. Vacant Space Recognition. It employs Intersection Over Union (IoU) metrics to handle overlapping car frames, focusing on identifying the "most empty" frames. Users can interact with the Telegram bot to request information about vacant parking spaces. If vacant spots are available, the bot service requests an updated image from the camera. The bot overlays the identified vacant zones on the image and sends it back to the user. Real-time updates. Read More

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Industry

Healthcare & Medical

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Budget

$10001 to $50000 USD

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Timeline

12 weeks

AI-Driven Chatbot for Parking Space Identification

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