PROJECTS

Early fault Diagnosis of vehicle EGR system based on machine learning technique

  • Essential to save engine impact and vehicle emission.
  • Machine learning technique is used to determine the actual failure status, with a support vector machine classifier. 
  • Software and Tools used: Python 3.7, Numpy Pandas, MatplotLib, SkLearn, Mlextend, Confusion Matrix, Seaborn Libraries, Jupiter Notebook.   

Software Solution for Vehicle Fitness Test

  • Designed algorithm to get the design details from manufacture database and check vehicle condition based on computer vision.
  • Implementation cloud server. 
  • Generate vehicle health report and alerts to the user with the help of web baseservice.
  • Used platform .net, Cloud server Azure devops, Open CV , Database: MS SQL, Oracle.

Face Mask Recognition

  • To restrict entry for customer
  • Used CNN, TenserFlow and Keras

Cat and Dog Recognition

  • Used available Google data
  • Used Deep convolution netwok

IoT based irrigation system

  • The detected data are uploaded to the cloud storage through network and associate using android application.
  • The system employs Arduino UNO with Raspberry Pi, HTU 211D sensor device, and an ESP8266 Wi-Fi module for data storing purpose.

Python based system for Income Tax work of Sugar Industries        

  • Used beautiful soup library of python.
   Location identification using GPS & GIS
  • Find out exact latitude and longitude position of the user. Tools: GPS, GIS and R platform.