XAT 2022 registration is open till great 30 November

XAT 2022 registration is open till great 30 November
Published at : 21 Oct 2021, 6:21 PM IST
Updated at : 22 Oct 2021, 12:59 PM IST

XAT 2022 registration has commenced and candidates willing to study management courses can register for the exam till 30 November. XAT exam will be conducted on 2 January 2022.

About XAT 2022

Admission Open in Amity for 2025

Xavier Aptitude Test 2022 (XAT 2022) is a university level entrance examination conducted by XLRI on behalf of XAMI. XLRI (Xavier Labour Relations Institute) is a well-known management school in India. It also has the reputation of being one of the oldest institutions in India.

XAT 2022

Also, more than 100 other management schools accept XAT score while conducting admissions for management courses offered by them. Students who pass XAT 2022 can also apply in these institutions individually.

Eligibility for XAT 2022

Candidates willing to apply for XAT 2022 have to pass bachelors degree from any recognised institution located anywhere across India. Even students who are appearing for their final year exam of their bachelor’s degree can also apply.

Admission Open in SRM for 2025

However, candidates appearing for their final exams should have passed the exam by the time the admission process commences.

Important dates
Application submission process was thrown open on 10 August this year. The last date to submit application is 30 November. The admit card for XAT 2022 would be released on 20 December this year.

The answer key in connection with XAT 2022 will be released by second week of January 2022. The result would be declared in the third week of January 2022.

Admission Open in LPU for 2025
XAT 2022

Indian candidates
The procedure to apply for XAT 2022 is online. Candidates can visit the official website of the exam to submit application forms. Applicants have to visit the official website ‘https://xatonline.in/’

Soon after the webpage downloads, candidates can click the link ‘Register 2022’ and provide information like their name, email id and date of birth and complete registration to obtain username and password.

Also read ‘IIT Guwahati launches BTech course in Data Science and Artificial Intelligence’

Admission Open in VIT for 2025

Post registration, applicants have to come back to the official website ”https://xatonline.in/’ and click the link ‘Login’ and enter the username and password obtained during the registration and commence applying for XAT 2022.

Applicants have to fill the form, upload the required documents, pay the registration fee and then submit the application form for XAT 2022.

Point to remember
Individuals who are already registered can click the link ‘Login’ and enter username and password and start applying for XAT 2022.

Foreign candidates
Non-Resident Indians or foreign nationals can apply courses through GMAT/GRE score. The GMAT score obtained from 1 December 2016 to December 31 2021 can be used to apply for XAT 2022.

These candidates can above mentioned official website mentioned above and click the link ‘Register’ and undertake registration to obtain username and password.

Post obtaining username and password, they can use it and commence applying for XAT 2022 exam. They can fill the form, pay the registration fee and upload documents and submit the application form.

XAT 2022

Registration fee
The registration fee for XAT 2022 is Rs 1800 without late fee. Applicants who are interested in XLRI programmes have to pay an additional fee of Rs 300 each.

The registration fee for the candidates who submit XAT 2022 applications late is Rs 2100. Candidates who are interested in XLRI programmes have to pay Rs 500 each.

Indian candidates who are applying for Ex-PGDM course through GMAT score have to pay a registration fee of Rs 2500. The same for NRI/Foreign applicants applying for one or more programmes through GMAT score is Rs 5000.

Documents
The documents to be uploaded while filling the fom for XAT 2022 are given below:

# Marksheets of the qualifying (bachelors degree) exam (if available)

# 10th class and 12th class marksheets (if required)

# Scanned image of passport size photograph of the applicant

# Scanned image of the applicant’s signature.

XAT 2022

Bulletin
The copy of the information booklet with regards to XAT 2022 is available at the link ‘https://xatonline.in/downloads/61515c3c7ef81669588676_Updated_7th_draft_XLRI_Bulletin_2022.pdf’

Exam pattern
XAT will have MCQ questions from topics – Decision Making, Verbal and Logical Ability, Quantitative Ability and Data Interpretation and General Knowledge.

Each of the above topics will be divided into four sections in the question paper and each section shall have 22 to 26 questions and individuals have to answer them in 180 minutes.

The exam will be conducted in online mode and the total marks will be 100 and medium of the test is English. Every correct answer will get one mark, every wrong answer will lose 0.25 marks.

XAT 2022
S.
S. Vishnu Sharma

S Vishnu Sharmaa now works with collegechalo.com in the news team. His work involves writing articles related to the education sector in India with a keen focus on higher education issues. Journalism has always been a passion for him. He has more than 10 years of enriching experience with various media organizations like Eenadu, Webdunia, News Today, Infodea. He also has a strong interest in writing about defence and railway related issues.

NIT Rourkela develops great AI powered model

NIT Rourkela develops great AI powered model
Published at : 26 Feb 2025, 6:47 PM IST
Updated at : 26 Feb 2025, 6:48 PM IST

NIT Rourkela research team led by Prof. Mirza Khalid Baig has developed a new AI-driven approach to improve blood sugar predictions for people with diabetes.

Prof Mirza is an Assistant Professor at Biotechnology and Medical Engineering department of NIT Rourkela.

Admission Open in Amity for 2025
NIT Rourkela Campus

The research presents a machine-learning model that enhances the accuracy of blood glucose level prediction, helping individuals and healthcare providers make better and personalised treatment decisions, say sources from NIT Rourkela.

Challenge

Diabetes is a major health challenge in India, with cases expected to reach 124.9 million by 2045, say NIT Rourkela researchers.

Effective diabetes management relies on regular glucose monitoring to prevent dangerous spikes (hyperglycemia) and drops (hypoglycemia) in blood sugar levels. Managing diabetes can be difficult due to a lack of specialists, unequal access to healthcare, low medication adherence, and poor self-care.

Admission Open in SRM for 2025

These challenges make it harder for patients to keep their blood sugar levels under control, increasing the risk of serious health problems.

NIT Rourkela

Machine learning (ML) has been used in many areas of diabetes research, from basic studies to predictive tools that can help doctors and patients make better and timely decisions.

Admission Open in LPU for 2025

However, AI learning models, especially predictive AI models, have a few drawbacks. Many of these models work like a “black box,” meaning their predictions are difficult to understand, say sources from NIT Rourkela.

This lack of transparency makes it hard for doctors and patients to fully trust them.

Furthermore, traditional models, such as statistical forecasting methods or basic neural networks, often fail to recognise long-term glucose fluctuations and require complex fine-tuning.

Focus

The researchers at NIT Rourkela focused on improving glucose forecasting using deep learning techniques.

Admission Open in VIT for 2025

Their approach incorporates a specialised AI model that learns from past blood sugar trends and predicts future levels more accurately than existing methods.

Unlike traditional forecasting models, which often struggle with long-term trends and require manual adjustments, this model processes glucose data automatically, identifying key patterns and making precise predictions, say sources from NIT Rourkela.

NIT Rourkela

According to the results of ICMR INDIAB study released in 2023, the overall prevalence of diabetes in our country is 11.4% and that of prediabetes is 15.3%, said Prof Mirza of NIT Rourkela.

Hence, it is crucial that we develop new solutions to tackle this problem, he said.

Our core innovation lies in using multi-head attention layers within a neural basis expansion network, which allows the model to focus on the most relevant data points while ignoring unnecessary noise, he said.

This results in better performance without the need for large amounts of training data or extensive computing power.

By combining precision with efficiency, we aim to provide a practical tool that can be integrated into digital health solutions, helping patients and doctors manage diabetes more effectively, he said.

Performance

The model developed by NIT Rourkela outperformed existing forecasting techniques by providing more reliable blood sugar predictions.

Since the model prioritises key information in blood sugar trends, it enables prediction that matches an individual’s unique glucose patterns, say sources from NIT Rourkela.

As a result, it offers improved accuracy, which is important for making timely and personalised adjustments to future insulin doses, meals, and physical activity.

Furthermore, the model is optimised to work efficiently on devices like smartphones and insulin pumps, making it more accessible for everyday diabetes management.

Care

In the long run, this AI-driven approach has the potential to enhance diabetes care through various applications.

It could be integrated into smart insulin pumps to automate insulin delivery, incorporated into mobile health apps for real-time glucose tracking, or used in clinical settings to support doctors in making personalised treatment plans.

Testing the developed technology

Currently, the researchers are planning on testing the developed technology through extensive clinical trials at hospitals, in collaboration with senior diabetologists in Odisha, such as Dr. Jayanta Kumar Panda and his team.

The team also acknowledges support from DST, DBT and NIT Rourkela for this project.

About NIT Rourkela

NIT Rourkela is one of the premier national level institutions for technical education in the country and is funded by the Government of India.

NIT Rourkela has earned 19th position in NIRF Ranking 2024 (Engineering Category), Overall 34th position, 30th position under Research and 9th position in Architecture and Planning category.

S.
S. Vishnu Sharma

S Vishnu Sharmaa now works with collegechalo.com in the news team. His work involves writing articles related to the education sector in India with a keen focus on higher education issues. Journalism has always been a passion for him. He has more than 10 years of enriching experience with various media organizations like Eenadu, Webdunia, News Today, Infodea. He also has a strong interest in writing about defence and railway related issues.



Whatsapp