Description:

Design a data driven dashboard for a plant, which shows different types of data using IOT sensors and detect anamolies in the machines.

Role:

1. Write microservices for the prediction od the data using different models.
2. Work with DevOps team to deploy the code to the kubernetes clustur.

Description:

Designing and Development of utility to mask Aadhar no. in Aadhar card documents and in customer application forms.

Role:

1. Design the solution to mask/hide Aadhar card numbers from digital Aadhar card documents and customer application forms.
2. Research and develop to mask the documents accurately.
3. Setup project for client and start batch processing of the data.

Description:

Build a mobile app for differently-abled people to Identify the Indian Currency Denomination. The app should be able to identify the denomination when the currency is put in front of the camera.

Role:

1. Research for the optimized solution for the detection of currency.
2. Collection and cleaning of the dataset for the training of AI models.
3. Writing scripts for validating the dataset and various tasks.
4. Training and testing of the AI model.

Description:

Design an IOS app which can detect and recognize License plate of the moving vehicle.

Role:

1. Verification of the available dataset using automated script.
2. Research for the different approaches for the same.
3. Design solution and train AI model.
4. Test AI model on the test dataset and share the best model trained.

Description:

Design an AI model which can detect and classify trees based on the imaginary taken from satellite.

Role:

1. Research and develop the solution to identify tree location correctly.
2. Writing automated scripts foe the prediction of th AI model.
3. Automate the training, testing, ensembling, dataset preperation..etc workflow using Amazon Web Services.

Description:

Design a fast solution to link duplicate records of the database accurately.

Role:

1. Design solution to find duplicate solution.
2. Design microservice to process Lakhs of record in less time.
3 .Deployment of the microservice on the client kubernetes environment.