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The JEE Main College Predictor by Shiksha is an invaluable tool for students aspiring to secure admission to top engineering colleges across India. This AI-based tool leverages historical data, current trends, and advanced algorithms to provide a realistic estimate of the colleges a student might get into based on their JEE Main scores.
The JEE Main College Predictor by Shiksha simplifies the complex process of college admissions. By providing accurate and personalized predictions, it helps students make informed decisions about the colleges based on their percentile score/ranks in JEE Main. Whether you are aiming for a top NIT or exploring other engineering colleges, this tool can be an invaluable resource in your journey. With its user-friendly interface, comprehensive database, and detailed insights, the Shiksha JEE Main College Predictor stands out as a reliable guide for aspiring engineers.
Here’s an in-depth look at how this tool works, its features, and its benefits.
Understanding the JEE Main College Predictor by Shiksha
The JEE Main College Predictor by Shiksha is designed to help students navigate the complex landscape of engineering admissions. Given the intense competition and the multitude of factors influencing college admissions, this tool simplifies the process by providing personalized predictions. Students can input their JEE Main percentile or rank, along with other relevant details such as category, gender, and state of eligibility. The predictor then analyzes this data against historical cutoffs and trends to generate a list of potential colleges.
Key Features of the Shiksha JEE Main College Predictor
Some of the salient features of JEE Main college predictor by Shiksha are
User-Friendly Interface: The tool is designed with a simple and intuitive interface, making it accessible to all students. Users can easily input their details and receive predictions within minutes.
Comprehensive Database: The predictor covers over 600 colleges and 3000 courses, ensuring a wide range of options for students. This extensive database includes prestigious institutions like NITs, IIITs, and other top engineering colleges.
Accurate Predictions: By utilizing AI-powered algorithms and historical data, the tool provides highly accurate predictions. It considers various factors such as past year cutoffs, seat availability, and reservation policies to ensure precise results.
Personalized Results: The tool takes into account individual factors such as category, gender, and state of eligibility, providing tailored predictions that reflect the unique circumstances of each student.
Detailed Insights: Beyond just predicting colleges, the tool offers detailed insights into each institution, including information on fees, cutoffs, admission processes, and placement records. This helps students make informed decisions about their future.
How to Use the JEE Main College Predictor
Using the Shiksha JEE Main College Predictor is straightforward. Here’s a step-by-step guide:
- Visit the Shiksha Website: Open the JEE Main College Predictor page on the Shiksha website - shiksha.com/engineering/jee-main-college-predictor
- Enter Your Details: Input your JEE Main percentile or rank, along with other relevant details such as category, gender, and state of eligibility.
- Submit Your Information: Click on the submit button to process your data.
- View Predictions: The tool will generate a list of potential colleges based on your inputs. You can view detailed information about each college, including cutoffs, fees, and placement records.
- Explore Options: Use the insights provided to explore different colleges and courses, helping you make an informed decision about your future.
Tips for Using the JEE Main College Predictor Effectively
The following points should be considered by students while using the JEE Main college Predictor.
Provide Accurate Information: Students to ensure that all required information in the college predictor is accurate. Even minor discrepancies can affect the accuracy of the predictions.
Consider Multiple Scenarios: It's prudent to input multiple scores or percentiles into the predictor to gauge various scenarios. This allows candidates to understand the range of colleges they might obtain based on different performance levels.
Benefits of Using the JEE Main College Predictor
Saves Time and Effort: Manually researching colleges and cutoffs can be time-consuming and overwhelming. The predictor streamlines this process, providing quick and accurate results.
Reduces Uncertainty: With the intense competition for engineering seats, students often face uncertainty about their chances of admission. The predictor provides clarity, helping students set realistic expectations.
Informed Decision-Making: By offering detailed insights into each college, the tool empowers students to make informed decisions about their education and career.
Personalized Guidance: The tool’s personalized predictions take into account individual factors, ensuring that students receive guidance tailored to their unique circumstances.
Boosts Confidence: Knowing which colleges they are likely to get into can boost students’ confidence, helping them focus on their studies and preparation.
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JEE Main Cut-offs for top ranked Engineering colleges are shown below.
B.Tech. in Computer Science and Engineering
|₹ 16.00 LakhRound | Closing Rank '23 | Closing Rank '24 |
1 | 839 | 866 |
2 | 1,371 | 1,582 |
3 | 1,584 | -- |
4 | 1,662 | -- |
5 | 1,687 | -- |
B.Tech. in Computer Science and Engineering
|₹ 5.00 LakhRound | Closing Rank '23 | Closing Rank '24 | Closing Rank '25 |
1 | 1,147 | 1,019 | 1,104 |
2 | 1,216 | 1,128 | 1,141 |
3 | 1,244 | 1,133 | 1,159 |
4 | 1,244 | 1,190 | 1,219 |
5 | 1,422 | 1,224 | 1,244 |
6 | 1,509 | 1,245 | 1,449 |
7 | 1,673 | -- | 1,605 |
8 | 1,679 | -- | -- |
B.Tech. in Computer Science and Engineering
|₹ 5.00 LakhRound | Closing Rank '23 | Closing Rank '24 | Closing Rank '25 |
1 | 1,594 | 1,423 | 1,528 |
2 | 1,713 | 1,423 | 1,546 |
3 | 1,728 | 1,440 | 1,563 |
4 | 1,728 | 1,441 | 1,607 |
5 | 1,829 | 1,615 | 1,607 |
6 | 1,984 | 1,920 | 1,827 |
7 | 2,302 | -- | 2,158 |
B.Tech. in Computer Science and Engineering
Round | Closing Rank '24 |
1 | 2,106 |
2 | 3,173 |
3 | 4,149 |
4 | 4,149 |
5 | 7,260 |
6 | 8,706 |
B.Tech. in Electronics and Communication Engineering
|₹ 16.00 LakhRound | Closing Rank '23 | Closing Rank '24 |
1 | 2,211 | 2,136 |
2 | 4,391 | 4,350 |
3 | 4,398 | -- |
4 | 4,398 | -- |
5 | 4,398 | -- |
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B.Tech. in Computer Science and Artificial Intelligence
|₹ 19.55 LakhRound | Closing Rank '24 |
1 | 2,352 |
2 | 4,201 |
3 | 4,778 |
4 | 4,778 |
5 | 7,865 |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Data Science)
|₹ 5.00 LakhRound | Closing Rank '24 | Closing Rank '25 |
1 | 2,473 | 2,550 |
2 | 2,525 | 2,634 |
3 | 2,581 | 2,634 |
4 | 2,581 | 2,650 |
5 | 2,948 | 2,774 |
6 | 3,158 | 2,952 |
7 | 3,182 | 3,168 |
B.Tech. in Information Technology
|₹ 5.00 LakhRound | Closing Rank '23 | Closing Rank '24 | Closing Rank '25 |
1 | 2,652 | 2,760 | 2,787 |
2 | 2,973 | 2,842 | 2,966 |
3 | 2,973 | 2,842 | 2,966 |
4 | 2,973 | 2,842 | 2,980 |
5 | 2,975 | 2,944 | 2,980 |
6 | 3,403 | 3,125 | 3,160 |
7 | 4,125 | 3,192 | 3,739 |
8 | 4,128 | -- | -- |
Integrated M.Tech. in Computer Science and Engineering
|₹ 26.32 LakhRound | Closing Rank '23 | Closing Rank '24 |
1 | 8,000 | 3,015 |
2 | 9,545 | 4,204 |
3 | -- | 5,075 |
4 | -- | 5,057 |
5 | -- | 7,987 |
6 | -- | 9,323 |
B.Tech. in Computer Science and Engineering
|₹ 5.00 LakhRound | Closing Rank '23 | Closing Rank '24 | Closing Rank '25 |
1 | 3,369 | 2,680 | 3,122 |
2 | 3,531 | 2,824 | 3,156 |
3 | 3,546 | 2,824 | 3,160 |
4 | 3,546 | 2,824 | 3,167 |
5 | 3,546 | 2,940 | 3,369 |
6 | 3,786 | 3,271 | 3,431 |
7 | 4,034 | 3,365 | 3,931 |
8 | 4,218 | -- | -- |
9 | -- | -- | 4,245 |
B.Tech. in Computer Science and Engineering
|₹ 19.55 LakhRound | Closing Rank '24 |
1 | 1,223 |
2 | 3,015 |
3 | 4,201 |
4 | 4,201 |
5 | 6,695 |
B.Tech. in Computer Science and Engineering (Artificial Intelligence)
|₹ 3.95 LakhRound | Closing Rank '23 | Closing Rank '24 | Closing Rank '25 |
1 | 1,540 | 2,473 | 2,092 |
2 | 2,941 | 4,787 | 3,299 |
3 | 2,941 | 5,226 | 4,233 |
4 | 2,967 | 5,283 | 4,411 |
5 | 3,255 | 7,417 | 6,050 |
B.Tech. in Computer Science and Engineering
|₹ 5.00 LakhRound | Closing Rank '23 | Closing Rank '24 | Closing Rank '25 |
1 | 2,075 | 1,899 | 2,135 |
2 | 2,285 | 2,011 | 2,234 |
3 | 2,285 | 2,014 | 2,273 |
4 | 2,285 | 2,030 | 2,297 |
5 | 2,334 | 2,186 | 2,307 |
6 | 2,413 | 2,341 | 2,409 |
7 | 2,659 | 2,360 | 2,634 |
B.Tech. in Computer Science and Engineering
|₹ 7.40 LakhRound | Closing Rank '23 | Closing Rank '24 | Closing Rank '25 |
1 | 2,647 | -- | 2,285 |
2 | 3,674 | -- | 4,034 |
3 | 3,736 | 5,803 | -- |
4 | 4,810 | 5,864 | 5,028 |
5 | 4,876 | 6,406 | 6,200 |
B.Tech. in Artificial Intelligence
|₹ 5.00 LakhRound | Closing Rank '23 | Closing Rank '24 | Closing Rank '25 |
1 | 2,588 | 2,216 | 2,372 |
2 | 2,766 | 2,439 | 2,372 |
3 | 2,766 | 2,486 | 2,372 |
4 | 2,766 | 2,486 | 2,372 |
5 | 2,766 | 2,594 | 2,372 |
6 | 2,973 | 3,053 | 2,650 |
7 | 3,430 | -- | 3,264 |
B.Tech. in Computer Engineering
|₹ 3.95 LakhRound | Closing Rank '23 | Closing Rank '24 | Closing Rank '25 |
1 | 1,896 | 2,818 | 2,612 |
2 | 2,946 | 5,104 | 3,925 |
3 | 2,966 | 5,560 | 4,176 |
4 | 3,094 | 6,058 | 4,519 |
5 | 3,994 | 8,168 | 6,249 |
B.Tech. in Artificial Intelligence and Data Science
Round | Closing Rank '24 |
1 | 2,833 |
2 | 4,172 |
3 | 5,039 |
4 | 5,002 |
5 | 9,486 |
6 | 11,669 |
B.Tech. in Computer Science and Engineering (Data Science and Analytics)
₹ 7.40 LakhRound | Closing Rank '25 |
1 | 3,026 |
2 | 4,272 |
4 | 5,683 |
5 | 6,268 |
B.Tech. in Electronics and Communication Engineering
Round | Closing Rank '24 |
1 | 3,142 |
2 | 4,431 |
3 | 5,259 |
4 | 5,149 |
5 | 10,300 |
6 | 12,315 |