ANU 3 Yr LL.B 1st Sem & 5 Yr LL.B 5th Sem Reg/Supply Exam Time Tables March 2025 are available, the candidates who are looking for official time tables can download from here.
Download official time tables from below links
ANU 3 Yr LL.B 1st Sem Sem Reg/Supply Exam Time Tables March 2025
ANU 5 Yr LL.B 5th Sem Reg/Supply Exam Time Tables March 2025
ANU L.L.B. III/III 5th & V/V 9th SEMESTER REGULAR EXAMINATIONS NOVEMBER-2025 RESULTS are now available, the candidates who are looking for results can check their results from here
Check your results from below links
ANU L.L.B. III/III 5th & V/V 9th SEMESTER REGULAR EXAMINATIONS NOVEMBER-2025 RESULTS.
ANU PG (M.A, M.Sc, M.Com) 3rd Sem Reg Exam Results Nov 2025 are now available, the candidates who are looking for results can check their results from here
Check your results from below link
Acharya Nagarjuna University has officially published the B.Ed 1st Semester Regular and Supplementary Examination Timetable for February 2026. Students enrolled in affiliated colleges should review the schedule carefully and begin their final preparation to avoid last-minute stress.
Download the official timetable here:
According to the notification issued by the Controller of Examinations on 05 February 2026, the exams will be conducted from 23 February 2026 to 28 February 2026.
The university has scheduled the examinations in afternoon sessions:
2:00 PM to 5:00 PM for Papers I to III
2:00 PM to 3:30 PM for Papers IV to VI
Students are advised to reach the examination center at least 30 minutes early to complete verification procedures.
23 February 2026 – Monday
Philosophical Foundations of Education – 80 Marks
24 February 2026 – Tuesday
Perspectives in Child Development – 80 Marks
25 February 2026 – Wednesday
ICT for Enriching Teaching and Learning – 80 Marks
26 February 2026 – Thursday
Pedagogy of Mathematics – 40 Marks
Pedagogy of Social Sciences – 40 Marks
Pedagogy of Biological Sciences – 40 Marks
27 February 2026 – Friday
Pedagogy of English – 40 Marks
Pedagogy of Telugu – 40 Marks
Pedagogy of Urdu – 40 Marks
28 February 2026 – Saturday
Pedagogy of Physical Sciences – 40 Marks
The timetable applies to both regular and supplementary candidates studying under Acharya Nagarjuna University.
Verify your subject codes and papers before the exam.
Carry your hall ticket without fail. Entry may not be permitted without it.
Follow university guidelines and examination rules strictly.
Keep track of any updates issued by the university or your college.
With limited time remaining, students should focus on smart preparation strategies:
Create a revision plan
Prioritize high-weightage topics from the 80-mark papers first.
Practice previous question papers
This helps improve writing speed and boosts confidence.
Revise pedagogy subjects thoroughly
Even though they carry 40 marks, they can significantly improve overall results.
Stay consistent
Avoid last-minute cramming and maintain a healthy study routine.
The first semester lays the academic foundation for the B.Ed program. Strong performance helps students build subject expertise and teaching skills that are essential for future semesters and teaching careers.
Since the schedule spans only six days, effective time management between exams becomes critical.
Acharya Nagarjuna University has officially announced the ANU Special B.Ed 3rd Semester Regular Examination Results for November 2025. Students who appeared for these examinations can now access their results online through the university’s official results portal.
The declaration of results marks an important academic milestone for Bachelor of Education students pursuing special education programs. Candidates are advised to check their marks promptly and verify all details mentioned in the result sheet.
Students can follow the official results link provided by the university website. Keep your Hall Ticket Number ready to avoid delays while checking your result.
Steps to Check Your Result:
Visit the official ANU results website.
Click on the link titled “Special B.Ed 3rd Sem Regular Exam Results Nov 2025.”
Enter your Hall Ticket Number.
Click on Submit.
Download and print your result for future reference.
After downloading the scorecard, carefully verify the following information:
Student Name
Hall Ticket Number
Course and Semester
Subject-wise Marks
Total Marks
Result Status (Pass/Fail)
If you notice any discrepancies, contact the university examination branch immediately for clarification.
Once the results are out, students should plan their next academic steps wisely.
For Passed Students:
Prepare for the upcoming semester.
Keep a printed copy of your result for admission and verification purposes.
For Students Who Did Not Pass:
Don’t panic—apply for supplementary exams if available.
Analyze your performance and focus on improving weaker subjects.
Students who are not satisfied with their marks may have the opportunity to apply for revaluation or answer script photocopy. The university usually releases a notification with application dates and fees shortly after the results announcement.
It is recommended to apply within the deadline to avoid missing the chance for re-assessment.
The third semester plays a crucial role in shaping teaching competencies, practical exposure, and subject expertise. Strong performance in this semester helps students build confidence before entering the final phase of the program.
Acharya Nagarjuna University has officially declared the UG Degree 3rd and 5th Semester Regular and Supplementary Examination Results for October November 2025. Students who appeared for BA BSc BCom BBA and other undergraduate degree courses can now check their results online through the official ANU examination portal.
This announcement is important for both regular and supplementary candidates, as it determines eligibility for the next semester and academic progression.
University Name: Acharya Nagarjuna University
Examination Type: Regular and Supplementary
Courses: UG Degree BA BSc BCom BBA BBM and allied courses
Semesters: 3rd Semester and 5th Semester
Exam Months: October November 2025
Result Status: Declared
Students can follow the steps below to access their results easily:
Visit the official Acharya Nagarjuna University results website
Select UG Degree Results from the examination section
Click on 3rd or 5th Semester Regular or Supplementary Results
Enter your Hall Ticket Number correctly
Submit and download the result for future reference
After checking the result, students should verify the following details carefully:
Student Name
Hall Ticket Number
Course and Semester
Subject wise Marks
Total Marks
Result Status Pass or Fail
In case of any discrepancy, students are advised to contact their respective college examination cell immediately.
Students who are not satisfied with their marks can apply for revaluation or recounting as per university guidelines. The official notification regarding revaluation dates and fees will be released shortly by Acharya Nagarjuna University.
Qualified students can proceed with the next semester admission process
Supplementary candidates should prepare for upcoming exams
Final year students should collect provisional certificates from colleges
Keep a copy of the marks memo for academic and job related purposes
Acharya Nagarjuna University has officially released the B.Ed 3rd Semester Regular Examination Results for the November 2025 session. Students who appeared for the examination can now access their scorecards through the university’s official results portal. The announcement brings relief and excitement to thousands of candidates eagerly waiting to evaluate their academic performance.
ANU B.Ed 3rd Semester Results 2025 Overview
Students are advised to check their results at the earliest and download a copy for future academic and administrative purposes.
ANU B.Ed 3rd Sem Regular Exam Results Nov 2025 Declared Check Here
Step 1: Visit the official Acharya Nagarjuna University results website.
Step 2: Navigate to the Results section.
Step 3: Select B.Ed 3rd Semester Regular Examination Results Nov 2025.
Step 4: Enter your Hall Ticket Number.
Step 5: Submit the details to view your marks memo.
Step 6: Download and print the result for future reference.
Details Mentioned on the Marks Memo
After downloading the result, students should carefully verify the following information:
If you notice any discrepancy, immediately contact your college examination branch or the university authorities for clarification.
What to Do After Checking the Result
Students who have successfully cleared the examinations can proceed with the next semester preparations and academic requirements. Those who did not achieve the expected results should not worry, as the university usually provides an opportunity to apply for revaluation or supplementary examinations.
Revaluation and Supplementary Information
Acharya Nagarjuna University is expected to release notifications regarding revaluation and supplementary exams shortly after the results announcement. Students interested in recounting or revaluation should regularly monitor the university website to avoid missing important deadlines. The last date is 12 Feb 2026
Importance of the B.Ed Third Semester
The third semester plays a crucial role in shaping teaching competencies and pedagogical understanding. Strong performance in this semester helps students build a solid foundation for practical training and future teaching careers.
Final Thoughts
The declaration of the ANU B.Ed 3rd Semester Regular Exam Results Nov 2025 marks an important academic milestone for aspiring educators. Students are encouraged to download their results promptly, verify all details, and plan their next academic steps accordingly. Stay connected with the official university portal for updates on revaluation dates, supplementary exams, and upcoming semester schedules.
Acharya Nagarjuna University has officially announced the postponement of B.Ed I Semester examinations scheduled for February 2026. The decision applies to both Regular and Supplementary candidates across all affiliated colleges.
The notification was issued by the Controller of Examinations with the approval of the Vice-Chancellor through official proceedings dated 27 January 2026.
University: Acharya Nagarjuna University
Course: B.Ed
Semester: I Semester
Examination Type: Regular and Supplementary
Original Exam Date: 05 February 2026
Revised Exam Date: To be intimated later
Notification Date: 27 January 2026
As per the official order, the revised examination schedule will be announced separately by the university
| Course | Semester | Earlier Exam Date | Revised Exam Date |
|---|---|---|---|
| B.Ed | I Semester | 05-02-2026 | Intimated later |
Students are advised not to attend examinations on the previously announced date, as the schedule stands postponed until further notice
Ignore earlier exam notifications dated December 2025
Revised exam dates will be announced officially by ANU
Continue preparation as exams will be rescheduled soon
Regularly check the official ANU website and college notice boards
Hall tickets, if already issued, may be updated or revalidated
Missing the updated announcement may lead to confusion regarding examination dates.
According to the proceedings of the Vice-Chancellor, the postponement was approved through administrative orders to ensure smooth conduct of examinations across affiliated B.Ed colleges under ANU
Acharya Nagarjuna University has officially announced the postponement of I Semester examinations for All PG Arts & Science courses, including MBA and MCA, which were scheduled for February 2026.
The revised notification was issued by the Controller of Examinations with the approval of the Vice-Chancellor and is applicable to both Regular and Supplementary candidates.
University: Acharya Nagarjuna University
Courses Affected: All PG Arts & Science, MBA, MCA
Semester: I Semester
Examination Type: Regular and Supplementary
Original Start Date: 10 February 2026
Revised Start Date: 18 February 2026
Notification Date: 29 January 2026
This postponement applies uniformly across all affiliated colleges under ANU
| Course | Semester | Earlier Exam Date | Revised Exam Date |
|---|---|---|---|
| All PG Arts & Science | I Semester | 10-02-2026 | 18-02-2026 |
| MBA | I Semester | 10-02-2026 | 18-02-2026 |
| MCA | I Semester | 10-02-2026 | 18-02-2026 |
As per the official order, all examinations will now commence from 18 February 2026 instead of the previously scheduled date
Students should ignore earlier timetables issued before this notification
Revised exam dates apply to both Regular and Supplementary candidates
Updated time-tables and hall tickets will be issued separately if required
Students are advised to regularly check the official ANU website and college notice boards
Failure to follow the revised schedule may lead to confusion or absence from examinations.
Acharya Nagarjuna University has officially released the revised examination centres list for B.P.Ed, D.P.Ed, and M.P.Ed I Semester examinations scheduled for February 2026. This update is crucial for students appearing in Physical Education courses during the academic year 2025–26.
The notification was issued by the Controller of Examinations with the approval of the Vice-Chancellor and replaces previously announced centres.
Examination Session: I Semester
Courses Covered: B.P.Ed, D.P.Ed, M.P.Ed
Examination Month: February 2026
Academic Year: 2025–2026
Authority: Controller of Examinations, Acharya Nagarjuna University
According to the official proceedings dated 29-01-2026, students must strictly follow the revised centres mentioned in the notification
The following colleges have been allotted revised examination centres:
ANU College of Physical Education & Sports Sciences, Nagarjuna Nagar
Examination Centre: Yoga Centre, ANU
Dhanalakshmi College of Physical Education, Muppala
Examination Centre: Sri Krishna Chaitanya Degree College, Narasaraopet
Sai Deepthi College of Physical Education, Edulapalem
Examination Centre: A.C. College of Law, Guntur
Siddhamurthy Mallikharjuna Reddy College of Physical Education, Singaravakonda
Examination Centre: Sir C.V. Raman College of Computer Science, Podili
AKTP University (ANU PG Campus), Ongole
Sarada B.P.Ed College, Medarametla
Dr. Samuel George Institute of Physical Education, Markapuram
Jaideep B.P.Ed College, Thaticherla Motu
Sri Balaji B.P.Ed College, Kanisiri
Sri Vivekananda B.P.Ed College, Podili
All centres are officially approved and validated for February 2026 examinations
For D.P.Ed students, the revised examination centres include:
Dhanalakshmi College of Physical Education, Muppalla
Examination Centre: Sri Krishna Chaitanya Degree College, Narasaraopet
Sai Deepthi College of Physical Education, Muppalla
Examination Centre: A.C. College of Law, Guntur
Boggavarapu Guravaiah College of Physical Education, Velpur
Sri Vivekananda B.P.Ed College, Ramayanakandrika
Examination Centre: Sir C.V. Raman College of Computer Science, Podili
Mokshita College of Physical Education, Singarayakonda
Students are advised to confirm their centre details well in advance
The M.P.Ed I Semester revised centres are:
ANU College of Physical Education & Sports Sciences, Nagarjuna Nagar
Examination Centre: Yoga Centre, ANU
Dhanalakshmi College of Physical Education, Muppalla
Examination Centre: Sri Krishna Chaitanya Degree College, Narasaraopet
AKTP University (ANU PG Campus), Ongole
Examination Centre: Sir C.V. Raman College of Computer Science, Podili
These centres are finalized for February 2026 examinations
Verify your college-to-centre mapping carefully
Carry a valid hall ticket and college ID
Reach the examination centre at least 30 minutes early
Follow all university examination guidelines strictly
Failure to report to the revised centre may result in disqualification.
ANU B.Tech 2nd & 1st Year July 2025 Exams Revaluation Results are now available, the candidates who are looking for results can check their results from here
Check your results from below links
I/IV B.TECH I SEMESTER SUPPLY EXAMINATIONS JULY-2025 REVALUATION RESULTS.
I/IV B.TECH II SEMESTER REGULAR EXAMINATIONS JULY-2025 REVALUATION RESULTS.
II/IV B.TECH I SEMESTER SUPPLY EXAMINATIONS JULY-2025 REVALUATION RESULTS.
Artificial Intelligence has traditionally relied on cloud-based systems where data is sent to remote servers for processing. However, with the rapid growth of smart devices and real-time applications, this approach is not always efficient. Edge AI has emerged as a powerful solution that brings intelligence closer to where data is generated. This blog post explains the concept of Edge AI, compares it with Cloud AI, and highlights real-world applications in smart appliances, cameras, vehicles, and IoT devices.
Edge AI refers to the deployment of Artificial Intelligence models directly on edge devices such as sensors, cameras, smartphones, and embedded systems instead of relying entirely on cloud servers.
Data is processed locally on the device
AI decisions are made near the data source
Minimal dependence on internet connectivity
On-device inference
Low latency processing
Reduced data transmission
Improved privacy and security
Edge AI enables intelligent behavior even when network connectivity is limited or unavailable.
Traditional cloud-based AI requires continuous data transfer between devices and remote servers, which may not be practical in many scenarios.
High latency due to network delays
Dependence on stable internet connection
Increased bandwidth usage
Privacy concerns due to data transmission
Edge AI addresses these limitations by performing computation locally.
Both Edge AI and Cloud AI play important roles in modern AI systems. Their usage depends on application requirements.
Processing occurs on local devices
Faster response time
Works with limited or no internet
Better data privacy
Suitable for real-time applications
Processing occurs on remote servers
High computational power
Requires internet connectivity
Suitable for large-scale data analysis
Ideal for training complex AI models
Many real-world systems use a hybrid model where:
Cloud AI is used for training and updates
Edge AI is used for real-time inference
This combination provides efficiency and scalability.
Smart appliances increasingly use Edge AI to enhance user experience and efficiency.
Smart refrigerators detecting food items and freshness
Washing machines adjusting cycles based on load
Air conditioners optimizing temperature automatically
Smart speakers responding to voice commands
Instant response
Energy efficiency
Offline functionality
Personalized operation
Edge AI makes household devices intelligent and autonomous.
Smart cameras are one of the most common applications of Edge AI.
Face recognition
Motion detection
Object tracking
Intrusion detection
Real-time video analysis
Reduced video data transmission
Enhanced privacy
Faster alerts and actions
Edge AI enables cameras to make decisions without sending raw video to the cloud.
Modern vehicles rely heavily on Edge AI for safety and automation.
Driver assistance systems
Lane detection and collision avoidance
Pedestrian and obstacle detection
Autonomous navigation
Real-time decision making
No tolerance for network delay
High reliability and safety requirements
Edge AI allows vehicles to respond instantly to changing environments.
The Internet of Things consists of billions of connected devices generating continuous data streams.
Local data processing
Reduced network load
Scalable deployment
Intelligent automation
Smart agriculture sensors monitoring soil and crops
Industrial machines detecting faults
Smart meters optimizing energy usage
Healthcare wearables monitoring vital signs
Edge AI enhances IoT systems by making them intelligent and responsive.
Low latency and faster response
Improved privacy and data security
Reduced bandwidth consumption
Offline or limited connectivity support
Energy-efficient operation
These advantages make Edge AI suitable for mission-critical applications.
Despite its benefits, Edge AI also faces challenges.
Limited computational resources
Hardware constraints
Model optimization requirements
Device management and updates
Ongoing research focuses on lightweight AI models and efficient hardware design to overcome these challenges.
Edge AI represents a significant shift in how Artificial Intelligence is deployed and used. By processing data directly on devices, Edge AI enables faster responses, improved privacy, and reliable operation in real-time environments. Compared to Cloud AI, Edge AI is better suited for applications that require immediate decision making and minimal network dependence.
Applications in smart appliances, cameras, vehicles, and IoT devices clearly demonstrate the importance of Edge AI in modern intelligent systems. Understanding Edge AI concepts prepares students to explore advanced AI applications in automation, robotics, and smart environments, making it a vital topic in contemporary AI education.
Artificial Intelligence platforms play a key role in converting AI concepts into practical applications. These platforms provide ready-to-use environments where users can build, train, test, and deploy AI models without dealing with low-level programming complexities. With the availability of online platforms and desktop-based no code and low code tools, AI application development has become accessible to students from all disciplines.
This blog post introduces major categories of AI platforms, focusing on widely used online AI platforms and popular desktop tools for AI application development.
Online AI platforms are cloud-based environments that allow users to develop AI applications using web interfaces. These platforms eliminate the need for installing software or owning high-end hardware.
Cloud-based infrastructure
Scalable computing resources
Browser-based access
Support for large datasets
Easy collaboration and sharing
No requirement for local installation
Suitable for beginners and institutions
Faster experimentation and deployment
Reduced hardware cost
Online platforms are commonly used in education research and industry due to their flexibility and ease of use.
Google AutoML is a cloud-based platform that enables users to build custom machine learning models with minimal coding.
Automated model selection
Automatic feature extraction
Scalable cloud infrastructure
Support for image text and tabular data
Image classification
Object detection
Text sentiment analysis
Structured data prediction
Google AutoML is widely used for rapid prototyping and enterprise-level AI applications.
H2O AI is an open-source AI and machine learning platform designed for advanced analytics and predictive modeling.
Open-source architecture
AutoML support
High performance computing
Integration with enterprise systems
Business analytics
Financial forecasting
Risk assessment
Large-scale data modeling
H2O AI is popular in data science competitions and enterprise environments.
Teachable Machine is a beginner-friendly online tool designed to teach AI concepts through hands-on learning.
No coding required
Real-time model training
Supports image audio and pose models
Instant testing through webcam and microphone
Ideal for beginners and non-technical students
Demonstrates AI learning visually
Encourages experimentation
Teachable Machine is widely used in classrooms for introductory AI education.
Desktop AI tools provide offline environments where users can build AI applications without internet dependency. These tools are especially useful in laboratories and academic institutions.
Works without internet connection
Transparent workflow visualization
Suitable for structured learning
Easy installation and use
Orange is a visual programming tool used for data analysis and machine learning.
Drag-and-drop workflow design
Data visualization tools
Classification and clustering algorithms
Support for educational use
Orange is widely used in academic AI labs.
KNIME is a low code analytics platform that supports data science and machine learning workflows.
Visual workflow creation
Extensive plugin ecosystem
Integration with Python and R
Scalable analytics
KNIME is suitable for both beginners and advanced users.
Weka is a popular open-source machine learning tool developed for educational and research purposes.
Collection of machine learning algorithms
GUI-based interface
Data preprocessing and evaluation tools
Widely used in academia
Weka is often used to understand core machine learning concepts.
RapidMiner is a powerful low code data science platform used for predictive analytics.
Visual workflow design
Built-in machine learning models
Advanced data preprocessing
Enterprise deployment support
RapidMiner is commonly used in business and industry analytics.
AI platforms for application development have simplified the process of building intelligent systems. Online platforms such as Google AutoML H2O AI and Teachable Machine enable cloud-based AI development, while desktop tools like Orange KNIME Weka and RapidMiner support offline and laboratory-based learning. Together, these platforms empower students and professionals to explore AI concepts without heavy programming.
Understanding these platforms helps learners move from theory to practice and prepares them for advanced AI applications in real-world scenarios.