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CISCO-RVCE Centre of Excellence in Internet of Things-2022

Embeded Sysetms for IoT ( Contact Prof. Padmaja - 991697223 for more details ) Click here foir Brochure

  • IoT and Machine learning based recognition of plant diseases by leaf image classification
  • Soil NPK detection based on Colour sensor using IoT and Machine learning algorithm
  • Design IoT Mesh Enabled Environment Monitoring Device
  • Smart Home Security System with Automatic Phone Calling System
  • IoT Based Smart Waste Management System for Smart City
  • Deep Learning Techniques for Obstacle Detection and Avoidance in Driverless Cars
  • Rapid Embedded Systems Design& Prototyping
  • IoT enabled ECG signatures of physiological anxiety
  • IoT enabled correction of asymmetrical gait patterns
  • Creating trusted ecosystem and mutual authentication in IoT environment
  • A novel IOT Enabled Health Diagnosis and Monitoring Model using Machine Learning
  • Smart street lighting with air quality measurement
  • IoT Enabled in Intelligent System Intelligent Analytics for IoT

Intelligent Analytics (Contact Dr. Vijayalakshmi M N - 9986551776 for more details )

  • Designing a prototype for the prediction of Epidemic diseases
  • Develop web application to classify the areca nut disease severity
  • Web application to predict Particulate Matter in air using historical data
  • Image classification for analysis of forest fire detection
  • Analysis of pesticides impact on soil fertility
  • Web application for emotion based for Music player
  • Development of a Query Processing System using NLP
  • Building an Analytical model to analyse customer behaviour in a web-based platform
  • Development of an NLP model for audio analysis
  • Design and Development of a recommendation system using sentiment analysis
  • Development of an efficient model for demand forecasting of Resources
  • An analytical framework to understand the behaviour of repeated criminals
  • Real-time streaming and analysis of Smart Home Data
  • Real-time streaming and analysis of Agricultural Data

IoT Enabled Intelligent Systems ( Contact Rajeswara Rao K.V.S 9845416171 for more details )

  • Chatbot for Using Deep Learning -Campus assistive system
  • Human Pose Estimation using Deep Learning
  • On-site construction progress monitoring system using satellite remote sensing or aerial images
  • Detection of Vegetation and sparseness of land in Satellite images
  • Environmental Acoustic scene classification using Deep learning
  • Automatic Music Generation
  • Detection and Identification of faces in IR camera
  • Underwater Naval Mine detection using Deep learning
  • Deployment of Chatbot in procurement process
  • Human Activity Recognition with Video Classification
  • Detection of diseases in leaves
  • Dehazing of SAR images using image processing
  • Identification and colouring different parts of fabric
  • Assessment and privacy protection using network traffic classification
  • Ship detection and tracking using CNN