Student internship plays a major role in transforming the engineering interns to ready-to-use professionals. Learning at the workplace has become a challenge for the interns due to several issues. A knowledge gap analysis has been depicted considering all stakeholders of the internship, including the intern, faculty, institution and the industrial organization. This article identifies and discusses these issues and provides a framework for effective learning and above-mentioned transformation considering the engineering industry. The role of the faculty is very important to successfully pursue an internship programme. The article also discusses, in detail, the role of the faculty in the success of the programme.
Demand planning plays a very strategic role in improving the performance of every business, as the planning for a whole lot of other activities depends on the accuracy and validity of this exercise. The field of agriculture is not an exception; demand forecasting plays an important role in this area also, where a farmer can plan for the crop production according to the demand in future. Hence, a system which could forecasts the demand for day-to-day food harvests and assists the farmers in planning the crop production accordingly may lead to beneficial farming business. This paper would experiment by forecasting the demand using multiple linear regression (EMLR-DF) for different food commodities and implements the model to assists the farmers in demand based constructive farming. Implementation results have proved the effectiveness of the proposed system in educating the farmers in producing the yields mapping to the demand. Implementation and comparison results have proved the proposed EMLR-DF is more effective and accurate.
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