Information Technology is huge One can claim to know all

This is one misnomer people have if a person is from IT background he will know all there is in IT but even people with 20 yrs experience I see them still learning..

Learning has no age. And speed at which things get obsolete more void needs to filled but even then if a person say I know all the things in IT.. then he must be categorized as fool.

In Job domain when people work they get exposed to certain realm and since its competitive world it hard for them to go beyond the expectation and deliver the results ASAP.

As one Sanskrit Shloka says:
Education gives humility, humility gives qualification or skill set

Skill set gives money , money with following right path gives happiness.

There are to kind of people in IT the specialist who focus on one skill and the Generalist as in management. The Generalist manager is trained to take up nay kind of leadership role in any functional area. There are specialist focused on One functional area who take up just one areas but cannot think beyond that area. But they are specialist in the area they are in… Enterprise Architect, ERP Architect, java Architect, data warehousing architect, BI Architect…etc….
I have seen in past ethics going so low that for clinical trail industry which regulated by FDA in india some company recruit fake candidates to reduce cost and if some one protest he is kicked out. But really question is is it sustainable… Would someday authorities not come to know hence test check can find details of those responsible then and prosecute them…Since it matter of  medicine and life and death for patient taking those medicine came out of these processes..
Again these very same IT company have feeling we know it all and nothing will happen but okay sometimes in business its okay just deviate a little but gross indifference is really Bad for all… Again the same attitude comes up which says we know it all.

But One should be loyal to the company he is serving and stake holders whatever situation be person should not break company ethics and law for which education system plays important role.If education system says its okay to harras some people it definitely comes into youngsters mind studying there Is this justified?.

Classifying Ubiquitious data, images into Emotion for target Advertisement campaign

Title: Classifying Ubiquitious data, images into Emotion for target Advertisement campaign

(get data from IP TV, youtube , and sensor network, correlate them with image processing data from image sensor for better ubiquity and targeted advertisement campaign

Objectives: Better Ubiquity and targeted advertisement by classifying images from CCTV other sensors at home like IPTV using image processing and correlating them with Advertisement campaign

Description of Project :

Advertisement campaign software today are basing there advertisement based on the cloud data at datacentres of gmail, YouTube etc.. But there is huge explosion of sensor data which was being generated by image sensors like CCTV on shopping malls, accepted webcam advertisement, gesture recognition,  also the data from ubiquitous systems like home sensors internet of things

The data feeds from huge no of sensor at home as well the live IP TV were widening of eye pupil represent interest in particular advertisement on TV adv captured As TRP rating. Here people can get subsidised TV connection is they allow a webcam to record there sensor data which can be allowed for running Image processing algorithm on to classify different facts like emotions based on was reaction to adv running on TV or classification of interest. Which can be quantized and correlated with online data to find targeted  advertisement campaign.

As Win win deal daily user can get feed of his emotion statistics throughout day will help him/her think about his responses throughout day and can be shown in behavioural software platform.

Also he and correlate and see trends of population in local area suppose limerick.

We are going to use cloud computing /hadoop to process image data and classify them using machine learning algorithms. And correlate with word interest feed from twitter or facebook to show trends.