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Innowise has developed a cross-platform mobile application to provide travellers with medical advice, multi-language support, and nearby medical facility locations.
Our client, an innovative private enthusiast based in the USA, aims to provide medical recommendations for North American travellers worldwide.
Detailed information about the client cannot be disclosed under the provisions of the NDA.
While travelling around the world, the client recognized the difficulties that private travellers face when dealing with health-related issues abroad – from language barriers to finding a medical facility or pharmacy. However, the healthcare solution market lacked on-the-go medical advisors that could provide instant health-related recommendations notwithstanding the location. To bridge this gap and capitalise on the potential marketing opportunity, the client came up with the idea of creating an MVP version mobile AI-powered app. This app would provide medical advice on the go based on written, verbal, or even image-based input, translate it into the required language depending on the country visited, and guide users to the nearest doctor or pharmacy.
With such a clear vision and initial mockups, alongside limited time and budget, the client turned to Innowise for assistance.
Innowise developed a cross-platform mobile application that leverages the extended AI capabilities to address the users needs effectively.
The app’s core functionality includes:
SDK
Flutter
Back-end
Python, Django
UI/UX
Figma
VCS
BitBucket
DevOps
AWS
After collecting and documenting the client’s requirements, Innowise began development. Using Flutter, we ensured the seamless functionality across both iOS and Android devices. To enable the app’s medical advising, we integrated ChatGPT-powered chatbot and engineered prompts for ChatGPT to improve response accuracy. The app’s back end, powered by Python and Django and supported by the AWS infrastructure is in charge of the app’s performance and scalability.
To enable revenue generation, we implemented a monetization strategy via the integration of Google AdMob.
We used the Scrum approach with two-week sprints, retrospectives, and on-demand meetings within a week to discuss important issues. Google Chat and Jira were used to manage tasks and discuss the project within the team. During the demo sessions at the end of each sprint, we presented a new functionality or other important sprint outcomes. After the development completion, the client performed user acceptance testing to ensure smooth launch.
1
Project Manager
1
Business Analyst
1
UI/UX Designer
1
Flutter Developer
1
Python Developer
1
DevOps Engineer
1
QA Engineer
3 months
viable MVP within
30%
development cost reduction due to our AWS partnership status and decreased infrastructure maintenance expenses
Having received and processed your request, we will get back to you shortly to detail your project needs and sign an NDA to ensure the confidentiality of information.
After examining requirements, our analysts and developers devise a project proposal with the scope of works, team size, time, and cost estimates.
We arrange a meeting with you to discuss the offer and come to an agreement.
We sign a contract and start working on your project as quickly as possible.
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