Mayank Panchal
Mobile Application Developer in Vadodara, India
I am a Senior Mobile Application Developer with 7+ years of experience in software analysis, application development and project execution for mobile and tablet devices on the Android, iOS and Flutter platform. I am Skilled in Flutter, Xcode, Android studio, Platform channel, Firebase, AppWrite.
I have experienced in working directly with client, business managers and technical teams for executing concurrent projects.
I have proficiency in technical documentation, designing wireframes, Structuring backend APIs and project architecture and development along with unit testing for Mobile Application Development.
I have experienced in working with Internet of Things (IoT), Machine Learning, Augmented Reality and Drone SDK.
Bellow are my personal Projects:
Flutter Application
1. United 18- Online Shopping APP
Website: https://united18.com/
Android: https://play.google.com/store/apps/details?id=com.united18.app
iOS: https://apps.apple.com/us/app/id1526917523
2. Touch Tell Application
Website: http://touchtell.com/
Android: https://play.google.com/store/apps/details?id=com.touchtell.b2b
iOS : https://apps.apple.com/us/app/id1509739445
3. SVVP Bruhad
Android: https://play.google.com/store/apps/details?id=com.svvp.svvp_flutter_app
iOS : https://apps.apple.com/in/app/svvp-bruhad/id1554840834
Android Application
1. Astrolaabh
Website https://astrolaabh.in/
Android : https://play.google.com/store/apps/details?id=astrolabhapp.com.astrology
2. Restobazaar
Website: http://www.restobazaar.com/
Android : https://play.google.com/store/apps/details?id=com.restobazaar.demo.restaurantapplication
3. Smart io BLE
Android : https://play.google.com/store/apps/details?id=com.aks.smartio
4. Farm Fresh
Android: https://play.google.com/store/apps/details?id=com.farm.grocery
5, Ichi software
Android: https://play.google.com/store/apps/details?id=com.ichi.inspection.app
3.WhosThat
WhosThat is the prototype application developed for Philippine client.
The application is based on Face Recognition concept.
IT takes person face by capturing using inbuilt camera and detects the face in the captured image.
Using Microsoft cognitive face API, the detected face is recognised from existing registered users to identify face and also get similar faces.