Notable projects we have completed :
We have worked on various projects about forecasting, time-series analysis and predictive analysis and more. We have also worked on data to generate actionable insights. Face detection recognition and Fall detection for elderly care systems : This was the algorithm run on live video stream from running on Nvidia Jetson Nano hardware.
2. Complaints predictions with Time Series Analysis : This project was for a Govt organization in India. We had the historical data of the complaints and used the ARIMA model for this project to predict the complaints.
3. Finding probable clients for Real Estate Agency : This project is for a US based client where we created a model to predict the houses which are most likely available for sale. We used different parameters including owner demographics and location demographics for this model.
4. Formula1 race results prediction : This project was completed for a UK based client. The input was the historical data of previous races, weather conditions, driver history, pit strategy etc. The accuracy of the results was around 93%.
5. Google Cloud Platform : We have deployed a hospital appointment booking system with predictive diagnosis at the backend. Complete architecture is on GCP using microservices and databases. Front end developed using Django and Backend is in Python.
6. AWS - We have worked on 4 AWS projects. Most notable of it is a system of adherence management which is deployed and being used in top hospitals in India. Besides this, there are some small projects we have worked on based on AI and ML. BLE hardware and Firmware Development for a wearable device - This product was developed using nRF52832 and 9 axis sensor. The firmware was developed on mBed RTOS and with a customized BLE library. The firmware was then ported onto the custom hardware developed in-house with a small form factor (28 mm diameter).
2. MedTech product - This is the product for cancer detection designed on Cypress platform. It has a camera connected to it and sends the images to the cloud via Android tablet. The cancer is detected using Machine Learning algorithms in the cloud.
3. CleanTech Product Development - This is an Award-winning product for waste recycling. The firmware for this was developed on the K64F platform with data being uploaded to AWS cloud. This product is deployed in the market and is being used at prime locations (hotels, colleges, hostels etc.) Hardware and firmware for this was developed at BMek.
4. We have worked on numerous PoCs with many hardware platforms such as Nordic, FRDM, Nvidia, Particle, Linkit One, Intel Edison, CC3200, Raspberry Pi, Arduino and more.
