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  Multi User Mobile Bluetooth Two Way Text Chat Project in Android     PROJECT ID: ANDROID35   PROJECT NAME: Multi User Mobile Bluetooth Two Way Text Chat Project in Android   PROJECT CATEGORY: MCA / BCA / BCCA / MCM / POLY / ENGINEERING   PROJECT ABSTRACT: Bluetooth talking is an inventive way to deal with the versatile world. This application demonstrates utilization of Bluetooth as far as talking. Means people can visit by means of Bluetooth. The primary midlet has only a rundown which has two esteems server and customer. By choosing one of these two esteems, the comparing example is made. Midlet is utilized to instate the association. It does the following thing at here. To begin with, it begins the application and inquiry the Bluetooth gadget. It sends the flag to the server class. Second, it can run, delay and stop the application. Third, it demonstrates ready utilizing setAlert work on each evolving. Server class goes dynamic when i...

  Predicting dark triad personality traits from twitter usage and a linguistic analysis of tweets   PROJECT ID: PYTHON20   PROJECT NAME: Predicting dark triad personality traits from twitter usage and a linguistic analysis of tweets   PROJECT CATEGORY: MCA / BCA / BCCA / MCM / POLY / ENGINEERING   PROJECT ABSTRACT: Social media sites are now the most populardestination for Internet users, providing social scientists with agreat opportunity to understand online behaviour. There are agrowing number of research papers related to social media, asmall number of which focus on personality prediction. To date,studies have typically focused on the Big Five traits ofpersonality, but one area which is relatively unexplored is that ofthe anti-social traits of narcissism, Machiavellianism andpsychopathy, commonly referred to as the Dark Triad. Thisstudy explored the extent to which it is possible to determine anti-social personality traits based on Twitter u...

  Hand gesture recognition based on fingers’ angles     PROJECT ID: PYTHON12   PROJECT NAME: Hand gesture recognition based on fingers’ angles   PROJECT CATEGORY: MCA / BCA / BCCA / MCM / POLY / ENGINEERING   PROJECT ABSTRACT: The arising of domestic robots in smart infrastructure has raised demands for intuitive and natural interaction between humans and robots. To address this problem, a wearable wrist-worn camera (WwwCam) is proposed in this paper. With the capability of recognizing human hand gestures in real-time, it enables services such as controlling mopping robots, mobile manipulators, or appliances in smart-home scenarios. The recognition is based on finger segmentation and template matching. Distance transformation algorithm is adopted and adapted to robustly segment fingers from the hand. Based on fingers’ angles relative to the wrist, a finger angle prediction algorithm and a template matching metric are proposed. All possible...