Several clubs are available on the campuses.
Hoste fee is INR 4,000 per month. Hostel food is above average.
Classes are conducted from 8 am to 4 pm. Quality and method of teaching are good. My overall experience is good.
My course fee is INR 2 lakh per annum. Scholarships are not available. Loans are available.
Key companies are Daiict and TCS on the campuses. Average packages offered are INR 6.54 lakh.
One has to write JEE MAIN entrance exam to get the admission.
We have many clubs like Literary, sports, dance, music, drama, photography, coding, design, arts which conduct various events throughout the year
The hostels provided by the college is average.
The fee for my course is very high and GOVT scholarship is available in our college.
The average salary package offered through the campus is INR 4 lakhs per annum.
The eligibility criteria for the admission is the completion of 12th boards with the percentage of 75% and clear JEE MAIN with ranking under 30,000.
IIIT Vadodara was established in 2013 under PPP mode. Presently it was running in a temporary campus at GEC gandhinagar in a single block. Our college starts at 8:30 am and classes run up to 12:30 Pm. Academic curriculum doesn't contain other engineering subjects such as chemistry drawing etc the curriculum is a bit advanced when compared to IITs and NIT's. Starting from first sem project are assigned to students and tutorial sessions will be held weekly. All the faculty contain PhD and all are with computer background so here we are mainly concentrated on core cse and it is good for students who mainly concentrate on studies
I have done a rural internship with a NGO. During this internship, I travelled many schools in the state of Haryana and Himachal Pradesh and guided students about the different possibilities of jobs, branches they can opt for. How they can achieve their goal and do good for their family and country.
I am currently working as a Teaching Assistant (TA) for the DBMS course and I will get about Rs. 3000 per month for my services to the college.
I was studying in the first batch of IIIT Vadodara
I am also the topper of my branch (IT) with 8.43 CGPA
My day starts with a walk in the morning after getting fresh, then I revise my work and plan the activities for the day on google keep. After these works, I take my breakfast and check my mails. Then from 9 am to 1 pm. I attend classes. I take a short nap for half an hour and then take my meal.
After that I focus on my labs and projects. I presume that I am good at studies and good with managing and collaboratin. My experience at college has been exceptional because of my friends and teachers during the whole three years. Of course, there have been some ups and downs. But we are like a family and can handle anything. I belong to the first batch of IIIT Vadodara and I feel proud of it. I have gone through things that probably others will never think of. We together have built our college from scratch. It is sometimes hard to believe how far we have come.
I have a deep interest in digital image processing and machine learning. I am very enthusiastic about this project. I have done a lot of literature survey on various image processing algorithm and I want to apply it for the betterment of the mankind and our machine learning society. I have a good team player. I am dependable and very adjustable. I love collaborating with talented people and work through different challenging problems using the collective brainstorming.
I have implemented Canny Edge Detection Algorithm, LOG, Harris corner detection.
My years of experience in Matlab, C++,Java and Python can also come in handy to your organization.
I have also done a workshop with MIT media lab on Synchronous Tools. Here I collaborated with professionals from various fields and genres to produce some brilliant ideas like Birdpedia (designing a network for birdwatcher and habitat for birds). During this workshop, I also worked with Tessel (a microcontroller) which can be used with different sensors like ambient, accelerometer, infrared etc. I also became familiar with the working and applications of adruino, raspberry pi, google glass, oculus,3d printer, laser printer during this workshop.
Moreover I have a good knowledge about Big data (Hadoop) which could be handy for applying machine learning and pattern recognition at a large scale on huge corpus. I have worked with terrier for indexing and searching in the Gutenberg project.
I am also familiar with Digital Image Processing and love to experiment with new intuitions on matrices.
I am currently working on Optical Character Recognition for handwritten and printed text.
In this project, I am going to extract features from the images, process it and perform OCR using different supervised learning algorithms like Naive Bayes, Support Vector Machines and K-nearest Neighbor Algorithm etc and compare and evaluate them.