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The present study was conducted for sewage treatment using effective microbial consortium. The Effective Microorganisms (EM) like Lactobacillus, Pseudomonas, Aspergillus, Saccharomyces and Streptomyces were isolated from respective sources. The microbial consortium was formulated using molasses as medium at pH 3.8 and incubated at 37°C for 3 days. The sewage treatment was carried out with the addition of 3 ml/l EM solution under aerobic condition. The BOD, COD, TDS and TSS were reduced by 85%, 82%, 55%, and 91% respectively after 3 reduced the environmental impact.

Brassica oleracea var. botrytis (Cauliflower) is one of the most widely cultivated and consumed vegetable worldwide and belongs to the Brassicaceae family. It falls under the same family of cabbage, kale, brussel sprouts, and broccoli. The Brassicaceae family consists of 3,500 species and 350 genera (Perna et al., 2019). Cauliflower contains various health-promoting bioactive components such as polyphenols, glucosinolates, sulforaphane, carotenoids, and ascor-

Visual speech Recognition or Lip reading is used for teaching differently abled persons to communicate with others. It has been determining speech by looking at the movement of the lips. There are many practical difficulties in traditional lip-reading recognition systems like complicated image processing, difficult to teach classifiers and recognition processes will take a long time. In our paper, we proposed the use of convolutional neural networks- Hidden Markov model (CNN-HMM) in lip reading. Since CNN will assign importance to an input image, it is easier to see a difference among the images. HMM used to handle the dynamics of the image sequence. First we convert the incoming video into images and these images selected for further operation. HMM provides a highly reliable way of speech recognition.

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