JEE Main rank predictor tool by Shiksha is an AI based rank calculator for the aspirants of JEE main exam. This exam is a crucial milestone for countless aspiring engineers across India. With intense competition and limited seats in prestigious institutions, it's imperative for candidates to have a clear understanding of their performance and prospects. JEE Main rank predictor 2024 tool helps student to get an idea of their rank and college in which they could get admission into, based on their scores in the exam. Shiksha’s JEE Main Rank Predictor is a powerful tool that not only provides insight into potential rankings but also aids in selecting the right college for admissions.
Candidates can use a JEE Main rank predictor by entering their actual or expected score or percentile of JEE Main result along with other relevant information such as category, state, etc., into the online tool. Based on this data, the predictor generates an estimate of the candidate's rank in the JEE Main exam.
What is JEE Main Rank Predictor 2024 by Shiksha
A JEE Main rank predictor is a tool specifically designed to estimate a candidate's rank in the JEE Main exam, which is one of the most competitive engineering entrance exams in India. This tool utilizes various factors such as the candidate's score or percentile in the JEE Main exam, difficulty level of the exam, and past trends to predict their rank.
It requires candidates to input their JEE Main scores or percentiles, along with relevant details such as category, state of eligibility, etc. Using the AI Powered algorithms and JEE Main Cutoff from past years, the JEE Main Rank predictor then generates an estimated rank for the candidate.
How JEE Main Rank Predictor Works?
The JEE Main Rank predictor works by a three-fold mechanism which includes
Input of Performance Data
- Students input their scores and detailed performance information from mock tests or practice exams.
- This includes subject-wise scores, the total number of questions attempted, and overall test-taking approach.
Data Analysis
- The tool thoroughly examines the performance data by comparing it with previous year available data of JEE Mains.
- It considers previous years’ cut-off scores and the distribution of scores among test-takers.
- Utilizing artificial intelligence, the tool predicts JEE Main ranks based on this data.
Rank Prediction and College Matching
- Once the rank is predicted, the tool suggests potential colleges where students can join. Students can also use JEE Main College Predictor by Shikha to get more accurate college recommendations based on ranks.
- It factors in seat availability, category-specific quotas, and other relevant criteria.
- The JEE Main rank predictor ensures accuracy by using actual normalized scores from students who had appeared in previous sessions/years and considering exam difficulty level.
Benefits of Using the JEE Main Rank Predictor
There are many benefits of using Shiksha’s JEE Main Rank Predictor tool some of which are
College Selection: For many candidates, the ultimate goal of the JEE Main is securing admission into a reputable engineering college. The rank predictor plays a pivotal role in this process by helping students gauge their chances of getting into their desired institutions. By having an idea of their estimated rank, candidates can research and shortlist colleges based on their cutoff trends, ensuring they apply to institutions where they have a realistic chance of admission.
Strategic Planning: The JEE Main rank predictor serves as a strategic tool, aiding candidates in devising their study plans and exam strategies. By knowing their estimated rank, students can identify areas of weakness and allocate time and resources accordingly. Additionally, they can prioritize topics or subjects that carry more weightage in the exam.
Assessment of Performance: The rank predictor helps to evaluate a candidate's performance. It helps students gain valuable insights into their standing among peers by providing knowledge of their ranks. This assessment serves as a reality check, helping candidates understand their strengths and areas needing improvement.
Tips for Using the JEE Main Rank Predictor Effectively
The following points should be considered by students while using the JEE Main Rank Predictor.
Provide Accurate Information: Students to ensure that all required information in the rank 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 ranks they might obtain based on different performance levels.
Why Shiksha's JEE Main Rank Predictor is more efficient than other tools!
- JEE Mains 2024 rank predictor is a tool that uses artificial intelligence to predict the ranks and the accuracy depends upon the details entered by the candidates.
- The JEE rank predictor helps the students predict their All India Rank before the announcement of actual JEE Main 2024 results.
- JEE Mains rank predictor 2024 predicts the rank on the basis of the difficulty level of the exam shift based on candidate experience and expert analysis.
JEE Main 2024 Marks vs Rank vs Percentile
Check below JEE Main Marks vs Percentile vs Rank comparison based on previous year data.
JEE Main 2024 Score |
JEE Main 2024 Percentile |
JEE Main 2024 Rank |
300-281 |
100 - 99.99989145 |
1-20 |
271 - 280 |
99.994681 - 99.997394 |
80 - 24 |
263 - 270 |
99.990990 - 99.994029 |
83 - 55 |
250 - 262 |
99.977205 - 99.988819 |
210 - 85 |
241 - 250 |
99.960163 - 99.975034 |
367 - 215 |
231 - 240 |
99.934980 - 99.956364 |
599 - 375 |
221 - 230 |
99.901113 - 99.928901 |
911 - 610 |
211 - 220 |
99.851616 - 99.893732 |
1367 - 920 |
201 - 210 |
99.795063 - 99.845212 |
1888 - 1375 |
191 - 200 |
99.710831 - 99.782472 |
2664 - 1900 |
181 - 190 |
99.597399 - 99.688579 |
3710 - 2700 |
171 - 180 |
99.456939 - 99.573193 |
5003- 3800 |
161 - 170 |
99.272084 - 99.431214 |
6706 - 5100 |
151 - 160 |
99.028614 - 99.239737 |
8949 - 6800 |
141 - 150 |
98.732389 - 98.990296 |
11678 - 9000 |
131 - 140 |
98.317414 - 98.666935 |
15501 - 11800 |
121 - 130 |
97.811260 - 98.254132 |
20164 - 15700 |
111 - 120 |
97.142937 - 97.685672 |
26321 - 20500 |
101 - 110 |
96.204550 - 96.978272 |
34966 - 26500 |
91 - 100 |
94.998594 - 96.064850 |
46076 - 35000 |
81 - 90 |
93.471231 - 94.749479 |
60147 - 46500 |
71 - 80 |
91.072128 - 93.152971 |
82249 - 61000 |
61 - 70 |
87.512225 - 90.702200 |
115045 - 83000 |
51 - 60 |
82.016062 - 86.907944 |
165679 - 117000 |
41 - 50 |
73.287808 - 80.982153 |
246089 - 166000 |
31 - 40 |
58.151490 - 71.302052 |
385534 - 264383 |
JEE Main Cut-offs for top ranked Engineering colleges are shown below.
B.Tech. in Computer Science and Engineering
|₹ 16.00 LakhRound | Closing Rank '22 | Closing Rank '23 | Closing Rank '24 |
1 | 445 | 839 | 866 |
2 | 1,264 | 1,371 | 1,582 |
3 | 1,398 | 1,584 | -- |
4 | 1,536 | 1,662 | -- |
5 | 2,017 | 1,687 | -- |
B.Tech. in Computer Science and Engineering
|₹ 5.00 LakhRound | Closing Rank '22 | Closing Rank '23 | Closing Rank '24 |
1 | 759 | 1,147 | 1,019 |
2 | 759 | 1,216 | 1,128 |
3 | 858 | 1,244 | 1,133 |
4 | 858 | 1,244 | 1,190 |
5 | 879 | 1,422 | 1,224 |
6 | 996 | 1,509 | 1,245 |
7 | 1,205 | 1,673 | -- |
8 | -- | 1,679 | -- |
B.Tech. in Computer Science and Engineering
|₹ 5.00 LakhRound | Closing Rank '22 | Closing Rank '23 | Closing Rank '24 |
1 | 1,083 | 1,594 | 1,423 |
2 | 1,106 | 1,713 | 1,423 |
3 | 1,180 | 1,728 | 1,440 |
4 | 1,180 | 1,728 | 1,441 |
5 | 1,311 | 1,829 | 1,615 |
6 | 1,689 | 1,984 | 1,920 |
7 | 1,754 | 2,302 | -- |
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 Artificial Intelligence
|₹ 5.00 LakhRound | Closing Rank '22 | Closing Rank '23 | Closing Rank '24 |
1 | 2,152 | 2,588 | 2,216 |
2 | 2,222 | 2,766 | 2,439 |
3 | 2,303 | 2,766 | 2,486 |
4 | 2,303 | 2,766 | 2,486 |
5 | 2,303 | 2,766 | 2,594 |
6 | 2,677 | 2,973 | 3,053 |
7 | 2,960 | 3,430 | -- |
Confused about which college or exam to opt for?
Chat with our counsellor.
Get your personalised list of colleges & exams.
B.Tech. in Mathematics and Computing
|₹ 5.00 LakhRound | Closing Rank '23 | Closing Rank '24 |
1 | 3,672 | 3,047 |
2 | 3,999 | 3,051 |
3 | 4,060 | 3,053 |
4 | 4,060 | 3,053 |
5 | 4,060 | 3,436 |
6 | 4,106 | 2,398 |
7 | 4,745 | 3,757 |
B.Tech. in Computer Science and Engineering (Artificial Intelligence)
|₹ 3.95 LakhRound | Closing Rank '22 | Closing Rank '23 | Closing Rank '24 |
1 | 932 | 1,540 | 2,473 |
2 | 2,117 | 2,941 | 4,787 |
3 | 2,797 | 2,941 | 5,226 |
4 | -- | 2,967 | 5,283 |
5 | -- | 3,255 | 7,417 |
B.Tech. in Computer Science and Engineering
|₹ 6.87 LakhRound | Closing Rank '22 | Closing Rank '23 | Closing Rank '24 |
1 | 2,109 | 2,647 | -- |
2 | 3,369 | 3,674 | -- |
3 | 4,008 | 3,736 | 5,803 |
4 | -- | 4,810 | 5,864 |
5 | -- | 4,876 | 6,406 |
B.Tech. in Information Technology
|₹ 5.00 LakhRound | Closing Rank '22 | Closing Rank '23 | Closing Rank '24 |
1 | 2,212 | 2,652 | 2,760 |
2 | 2,395 | 2,973 | 2,842 |
3 | 2,417 | 2,973 | 2,842 |
4 | 2,417 | 2,973 | 2,842 |
5 | 2,634 | 2,975 | 2,944 |
6 | 2,882 | 3,403 | 3,125 |
7 | 2,872 | 4,125 | 3,192 |
8 | -- | 4,128 | -- |
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
|₹ 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
|₹ 5.00 LakhRound | Closing Rank '22 | Closing Rank '23 | Closing Rank '24 |
1 | 1,764 | 2,075 | 1,899 |
2 | 1,820 | 2,285 | 2,011 |
3 | 1,904 | 2,285 | 2,014 |
4 | 1,904 | 2,285 | 2,030 |
5 | 2,027 | 2,334 | 2,186 |
6 | 2,112 | 2,413 | 2,341 |
7 | 2,157 | 2,659 | 2,360 |
B.Tech. in Electronics and Communication Engineering
|₹ 16.00 LakhRound | Closing Rank '22 | Closing Rank '23 | Closing Rank '24 |
1 | 1,005 | 2,211 | 2,136 |
2 | 4,606 | 4,391 | 4,350 |
3 | 5,439 | 4,398 | -- |
4 | 6,251 | 4,398 | -- |
5 | 10,318 | 4,398 | -- |
B.Tech. in Computer Science and Artificial Intelligence
|₹ 19.55 LakhRound | Closing Rank '22 | Closing Rank '24 |
1 | 2,485 | 2,352 |
2 | -- | 4,201 |
3 | -- | 4,778 |
4 | 2,485 | 4,778 |
5 | -- | 7,865 |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Data Science)
₹ 5.00 LakhRound | Closing Rank '24 |
1 | 2,473 |
2 | 2,525 |
3 | 2,581 |
4 | 2,581 |
5 | 2,948 |
6 | 3,158 |
7 | 3,182 |
B.Tech. in Computer Engineering
|₹ 68,000Round | Closing Rank '22 | Closing Rank '23 | Closing Rank '24 |
1 | 4,644 | 1,905 | 2,617 |
2 | 5,773 | 4,022 | 4,224 |
3 | -- | 4,593 | 4,728 |
B.Tech. in Computer Science and Engineering
|₹ 5.00 LakhRound | Closing Rank '22 | Closing Rank '23 | Closing Rank '24 |
1 | 2,535 | 3,369 | 2,680 |
2 | 2,692 | 3,531 | 2,824 |
3 | 2,695 | 3,546 | 2,824 |
4 | 2,695 | 3,546 | 2,824 |
5 | 2,715 | 3,546 | 2,940 |
6 | 2,883 | 3,786 | 3,271 |
7 | 3,205 | 4,034 | 3,365 |
8 | -- | 4,218 | -- |
B.Tech. in Computer Engineering
|₹ 3.95 LakhRound | Closing Rank '22 | Closing Rank '23 | Closing Rank '24 |
1 | 1,201 | 1,896 | 2,818 |
2 | 2,536 | 2,946 | 5,104 |
3 | 2,833 | 2,966 | 5,560 |
4 | -- | 3,094 | 6,058 |
5 | -- | 3,994 | 8,168 |
B.Tech. in Computational and Data Science
|₹ 5.00 LakhRound | Closing Rank '22 | Closing Rank '23 | Closing Rank '24 |
1 | 2,966 | 3,329 | 2,948 |
2 | 2,966 | 3,334 | 2,952 |
3 | 2,966 | 3,334 | 2,952 |
4 | 2,966 | 3,334 | 2,952 |
5 | 3,350 | 3,334 | 3,348 |
6 | 3,763 | 3,922 | 3,815 |
7 | 4,932 | 4,737 | 3,943 |