Participated in the 2-weeks Inspirit AI Scholars Program under the mentorship of graduate students, Ph.D. students, and alumni from Stanford University, USA.


Technologies learnt:

  • Python language.

  • Scientific libraries - NumPy, Pandas, Seaborn, Matplotlib, Scikit-learn.

  • Linear and Logistic Regression

  • NLP

  • Computer Vision

  • KNN 

  • Neural networks

  • Convolutional Neural networks (CNN)


Acquiring knowledge about AI techniques from the Inspirit AI program, worked on the following projects:
• Driver Distraction Detector
• Medical Imaging (Pneumonia)

Driver Distraction Detector

Utilized Computer Vision and Convolutional Neural networks to build an algorithm that analyzes whether a driver is distracted or attentive.

Medical Imaging (Pneumonia)

Built an algorithm that examines images of lung X-Ray scans to identify if someone is pneumonic or healthy. 

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