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Agriculture has been considered the backbone of India. But the growth of agriculture has declined in recent years which leads to a significant fall in the overall Gross Domestic Product (GDP). The Indian agricultural sector is on the brink of failure due to several factors like crop failures and farmer suicides. Even though there are a lot of help centers, welfare schemes, and modern technologies that the government provides, very few have adequate knowledge about that and fail to utilize them. Farmers are not ready to adapt to new methodologies and machineries. Thus, educating them in modern agriculture and equipping them with necessary modern machinery in a proper way is significantly crucial. This system makes the farmer aware of all the welfare schemes and subsidies provided by the government in case of any loss due to the natural disaster or any other relevant activities and helps the farmers to utilize them for the welfare of the crop. E services for crops and government schemes aim to provide information about the services or schemes available for the farmers. Farmers can also apply for the scheme for which they are eligible through the application. They buy and rent machinery from the government by availing the discounts they are eligible. Thus, the overall system acts as an apprentice for farmers and helps them to efficiently cultivate crops and maximize productivity.

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Programming is one of the most required skills set in today’s IT world. Students find it difficult to learn complex programming structure with different syntax. In general, they can learn through online courses or by using books. However, sometimes, it shuttles the thrust of learning programming as it follows some traditional methodologies and it is true that there is no innovative or interesting way to learn programming conceptually. Hence, an interactive and gamified mode of learning is essential and has been developed using unity 3D. As a result of the transition from the Information Age to the Experience Age, educators face significant challenges. Students, for example, are passive and disengaged, and they might even struggle to see the significance of what they are learning to their existences; additionally, important skills required for 21st century learners – such as empathy, organizational theory, creativity, supercomputing literacy, and analytical thinking – are difficult to teach. Virtual reality, as an immersive, hands-on learning tool, has the potential to play a distinctive role in meeting these educational challenges. In this paper, we show how the attributes of virtual reality can lead to new possibilities for learners. We wrap up by discussing suggestions and next steps.

Face recognition aims to detect, track, identify, or verify person from video or images using recognition system. Its application varies from security, authentication, social media, and so on. With the advancement of technologies, still it impedes in accuracy. The challenges involved in face recognition are variations in facial expression involve diverging light, facial changes interfered with facial hair, pose, and so on. This research work presents a new hybrid approach, which improves the accuracy in identification of a person. The accuracy of the proposed work clearly depicts that it can be best suited in real time environments for tracking persons. It can be used for applications like authentication, security, and so on. The proposed work is validated by tracking the student presence. It captures the image of the student and detect the face by pre-processing, extracting the features and recognizing the person. For recognition it uses Local Binary Pattern Histogram (LBPH) algorithm and Haar Cascade classifier. LBP Algorithm uses Histogram, which improves the accuracy of the face recognition. It is integrated with Haar classifier, which uses machine learning algorithm. Adaboost Learning algorithm, which selects small features from large set, which improves the efficiency of recognition.