Browsing by Author "Chaya, S"

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    Artificial intelligence chat bot
    (AIKTC, 2019-05) Chaya, S; Kaskar, ,Shifa (15ET01); Ubare, Khadija (15ET11); Shaikh, Lubna (15ET08); Khan, Nabila (15ET02)
    This report presents the design and development of a chatbot based on artificial intelligence. The output of our project will be a chatbot which will be deployed to the college website. This will be more convenient to the users to get their query resolved without having to travel to the college or waiting in queues which will save their time and money. The query can be answered at any time in the day or night without having to keep in mind the college working hours.
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    Pool surface cleaner using robotic arm
    (AIKTC, 2019-05) Chaya, S; Rakhangi, Rehan Anwar (16DET115); Khan, Shamshul Haque Noor (11ET14); Shah, Anas Amin (16DET119); Ansari, Mohd. Rashid Absar (16DET50)
    In order to replace traditional manual cleaning method and Reduce labour force and cleanup efficiency. It focus on system of surface leaning robot. It is connected and control designed using arduino. I Simply the robot is controlled through wireless Remote control that uses RF waves .I The garbage is collected by ARM of Robot then it will be pushed to the bucket. I There both as the advantage of high degree of automation , simple operation ,safe ,efficiency . In modern industry, innovation by automating processes provides companies with competitive advantages in speed, efficiency, and production value. This Major Qualifying Project studied the potential of a robotic, palletizing arm to help replace their manpower-driven operation of moving and stacking unpainted and painted blocks of scrap metal. Focus areas of the project included work area design, block distinction, alarm systemization, as well as robotic arm and end of arm tool selection.
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    Weed and himayaritic of leaf detection system with I.P
    (AIKTC, 2019-05) Chaya, S; Tanki, Saim (13ET60); Malik, Ajmal (14ET28); Khan, Junaid (14ET24); Khan, Aziz (13ET22)
    India, thecountrywherethemainsourceofincomeisfromagriculture. Farmersgrowavarietyofcropsbasedontheirrequirement.Sincetheplants su er fromthedisease,theproductionofcropdecreasesduetoinfections caused byseveraltypesofdiseasesonitsleaf,fruit,andstem.Leafdiseases are mainlycausedbybacteria,fungi,virusetc.Diseasesareoftendi cult to control.Diagnosisofthediseaseshouldbedoneaccuratelyandproper actions shouldbetakenattheappropriatetime.ImageProcessingisthe trending techniqueindetectionandclassi cationofplantleafdisease.This workdescribeshowtoautomaticallydetectleafdiseases.Thegivensystem will provideafast,spontaneous,preciseandveryeconomicalmethodin detecting andclassifyingleafdiseases.Thispaperisenvisionedtoassistin the detectingandclassifyingleafdiseasesusingMulticlassSVMclassi cation technique.First,thea ectedregionisdiscoveredusingsegmentationbyK- means clustering,thenfeatures(colorandtexture)areextracted.Lastly, classi cation techniqueisappliedindetectingthetypeofleafdisease. Keywords: Image Processing,Leafdiseasesdetection,K-meansclustering, featureextraction,MulticlassSVMClassi cation.