Codewave

Codewave designed and developed the bluetooth solution for the baby warmers, which enabled the warmer to seamlessly send baby’s health data to the cloud using bluetooth integration (BLE) and convert the data into actionable insights for the doctor and nurse assigned to the ward. The doctor and nurse also had an interface where they could monitor the health of babies wrapped in the warmer and easily understand which baby needs most attention now. All this was implemented without any dependency on internet (wifi) using NFC and Bluetooth low energy.

The project required deep integration with the hardware (sensors) attached to the warmer, decoding of the sensor data, building security protocols and handshakes and translation into meaningful insights for the doctors who are taking rounds and for nurses who are supervising the ward all round the clock. Our engineers worked with the hardware team to make sure the data was being seamlessly streamed through all gates on the assembly line, from the warmer to the router app and to the cloud and then to downstream apps that were consuming that data.

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Codewave designed and developed Lawmatters.com, with lawyer listing, jobs forum and the virtual office for the phase 1 launch. This being our first project for the legal industry, we did multiple visits to law firms understand the behaviors of lawyers, paralegals and pain points that most law firms are facing today. One of the insights we gained was to enable “voice recording and sending” feature, as typing and drafting were one of the most common activities outside the court. After multiple scope iterations, we nailed on the initial feature set and executed the phase 1 of the project in about 4 months time. The web app is live, the android app is expected to go live by the end of next month. We crawled data from Government websites, to get the list of registered lawyers on the platform initially, so professionals signing up on the platform can claim their profiles.

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Codewave designed and developed the Alexis android app in about 12 weeks, enabling both text and voice recognition in the first cut. The app currently works for couple of languages – english and hindi (supporting various accents). The phase 1 development of this app involved integration with Google’s Voice API and training the AI engine to respond to popular keywords and phrases. When you say “mujhe dilli jana hai”, the app suggests flights, hotels and travel guides in Delhi. When you says “mujhe dilli mein hotel chahiye”, the app proactively asks few questions like – luxury level, duration of stay and suggests hotels. The app in the next phase will be integrated with OTAs and travel suppliers to enable bookings. There is also a roadmap for ongoing NLP (Natural Language Processing) development to further train the AI engine.

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