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:
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Python language.
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Scientific libraries - NumPy, Pandas, Seaborn, Matplotlib, Scikit-learn.
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Linear and Logistic Regression
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NLP
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Computer Vision
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KNN
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Neural networks
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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.