The term "personality" may be expressed in terms of the individual differences in characteristics pattern of thinking, feeling, and behavior. This work presents several machine learning techniques including "Naive Bayes", "Support Vector Machines", and "Recurrent Neural Networks" to predict people personality from text based on "Myers-Briggs Type Indicator (MBTI)". Furthermore, this project applies "CRISP-DM", which stands for "Cross-Industry Standard Process for Data Mining", to guide the learning process. Since, "CRISP-DM" is kind of iterative development, we have adopted it with agile methodology, which is a rapid iterative software development method, in order to reduce the development cycle to be minimal.

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– Massive Open Online Course (MOOC) is becoming increasingly popular. There are different forms of MOOC and many online courses created by various institutions around the world. The traditional methods of generating high quality MOOC content tend to be timeconsuming and are not easy for the lecturers to engage in natural interaction with the content. This paper presents a framework and proposes the use of the Chroma-Keying technique that would enable the lecturers to see the outcome in real-time and the use of simple hand gestures to control changing of slides.