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Project Presentation

Projects Undertaken

  • Robust Deep Learning Model for Classification of Motor Imagery Tasks ( MTech Dissertation)

    • ​Developed a deep Learning Model for classifying motor imagery tasks(Left hand, right hand, foot, and tongue).

    • Achieved accuracy of 70.57, which is greater than some existing state of art methods.

  • FalconCare: Cholesterol Cure Recommendation System (https://github.com/ph-sharma/Project-FalconCare)​

  • NLP Paraphrasing and NER of Abridged Abstract from Research Papers

  • Fruit Quality Detection using the YoloV8 model on a custom Dataset

  • Controlling an RGB LED using an ESP8266 module and the Blynk IoT app

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