Machine learning is a branch of Artificial Intelligence, where the computer is fed a large amount of data and algorithms are written to help the computer learn by itself Machine learning is a branch of Artificial Intelligence, where the computer is fed a large amount of data and algorithms are written to help the computer learn by itself. In this project, ultrasonic sensors are mounted in different directions, which transmit and receive ultrasonic signals, thus detecting objects in their vicinity and measuring the distance of the target object with respect to the source. The distance is measured in real time continuously, stored in the database. This is replicated daily building an immense database. Using machine learning models such as logistic regression, the historical data stored in the database along with the run time data generated by the array of sensors is used to predict future events. These data are assessed as being of a categorical nature, and logistic regression therefore plays an important role. Ultrasonic range module HC— SR04 provides 2 cm— 400 cm non-contact measuring capability, range accuracy can reach 3 mm. This sensor is a common sensor used in many applications where distance measurement or sensing artifacts are needed.

Food preservation involves putting microorganisms in a hostile environment in order to inhibit their growth or shorten their survival or cause their death. It is an age long technique that helps to prevent food spoilage and ensures continuous food availability. Chrysophyllum albidum (African star apple) plantsand fruits have high economic, medicinal and nutritional values. This study focused on the use of chemical and natural preservatives to enhance the shelf life of C. albidum fruits. The chemical preservative used was sodium carbonate while the natural preservatives were Chrysophyllum albidum oil and coconut oil.Results showed mean to total bacterial and fungal counts in the range 1.0± 1.00 x 107 cfu/g to6.0± 1.00 x 107 cfu/g and 4.0± 1.00 x 107 sfu/g to 9.7± 0.88 x 107 sfu/g respectively. The lowest counts were observed in samples preserved with 0.5% sodium carbonate (chemical preservative) and Chrysophyllum albidum oil but with no significant difference (P≤ 0.05). This study revealed that the chemical and natural preservatives (sodium carbonate, Chrysophyllum albidum oil and coconut oil) used in this study can extend the shelf life from the average of 5 days to 11 days. The used of natural preservatives to extent the shelve life of fruitsis strongly advocated because of the possibility of alteration of its organoleptic properties and nutrient composition by chemical preservatives.

The selection intensity indices were computed based on the demographic information pertaining to fertility and mortality among Ksyatriya Caste, an endogamous caste population of Andhra Pradesh. The total fertility and mortality indices are slightly higher than other Andhra populations studied earlier. In the present population, the selection is manifested mainly through differential fertility rather than mortality, which is a deviation from general trend.  The results are discussed in the light of earlier studies on Andhra Pradesh castes / tribal populations.

Chrysophyllum albidum is primarily cultivated for their sweet fleshy fruit and has been reported as an excellent source of vitamin C, iron and other nutrients. Nevertheless, it is deteriorated by different species of fungi. This present study examined the nutritional, proximate and physicochemical composition and fungi species associated with the deterioration of Chrysophyllum albidumfruits. Standard procedures were used for the analysis. Results showed that the fungi associated with Chrysophyllum albidumfruit were Aspergillus flavus, Aspergillus fumigatus, Rhizopus stolonifer, Fusarium oxysporium, Sacharomyces cerevisiaeand Candida albican. Of these, Rhizopus stolonifer was the most predominant.The range of values for the proximate composition were; crude protein (5.74±0.64 – 9.75±0.43), carbohydrate (15.17±0.65 – 37.37±2.16), crude fibre (10.13±0.75 – 92.11±2.54), crude fat (2.67±0.23 – 8.35±1.01), ash (4.25±0.29 – 7.20±0.44), moisture content (26.74±2.72 – 65.80±2.39) and energy value (123.71±0.24 – 247.59±0.62).The range of the vitamins and mineral contents of the pulp were vitamin C (25.26±0.58 – 54.37±2.20), vitamin A (0.07±0.01 – 1.11±0.14), calcium (29.04±1.16 – 40.80±0.95), magnesium (20.58±0.39 – 24.95±0.32), phosphorus (3.53±0.12 – 9.06±0.63), sodium (4.53±0.39 – 6.30±0.59), iron (0.78±0.24 – 1.39±0.06) and zinc (4.84±0.26 – 7.92±0.54).The pH, titrable acidity and viscosity of the fruits pulp ranged from 5.46+0.12 – 6.83±0.38, 0.97±0.08 – 1.69±0.02 and 12.67±3.393 – 35.37±2.12 respectively. The seed oil yield is 8.75% and is liquid room temperature with brownish-red colour and a sweet smelling flavour. It has an acid value of 4.30±0.31mgkOH/g, free fatty acid (FFA) of 2.19±0.15mgkOH/g, saponification value of 198.90±0.10mgkOH/g, iodine value of 33.8±0.52mg/100mg, peroxide value of 1.54±0.08mgeq/kg, specific gravity value of 0.91±0.02 and refractive index of 1.459±0.30. The microbiological and nutritional implications of these findings are hereby discussed.

Air pollution is one of the leading mortality causes in the world, contributing to 5 million deaths per annum. 9% of deaths worldwide are due to air pollution. This is one of the risk factors for the burden of illness, too. Through this project we use the Internet of Things to perform the task of measuring and curbing the pollutants in the environment. IOT is a network of physical objects comprising of embedded technologies for interacting and sensing or transforming man into computer or software for communication with machines. This paper focus on providing a complex datasheet on parameters of the city climate as a whole. Here we employ alowpower, lowcost, ARM i.e. uses raspberry pi in the network qualifies to communicate through an external Wi-Fi module or a Local Area Network (LAN). Python is the language used to program user commands at the Raspberry Pi end. In addition, Internet connected terminal devices such as laptops, cell phones etc. can be used to access the data. This operating system will be providing access to real- time data time data on urban\city environment that include toxic contaminants such as: carbon dioxide, carbon monoxide, and use the appropriate sensors to track air, temperature and humidity.