Artificial Intelligence and Machine Learning
Branch code: 92110
Percentile range: 3.00 - 90.14
This branch is not present in the current statewide top-movers sample, so treat current cutoffs as the main reference.
R1
90.14
R2
65.52
R3
52.88
College Profile
Chandrapur • Not publicly available / needs verification • Not publicly available / needs verification
Somayya Institute of Technology, Chandrapur in Chandrapur is presented as a decision-support profile using available cutoff and institute metadata.
The scoped cutoff range in this dataset is 0.41 - 90.14, which should be interpreted with branch, category, seat bucket, and CAP round context.
Fee data is not currently available in the source set and should be verified from the institute disclosure.
For option-form planning, students often treat similarly scoped cutoff bands as match alternatives, but final allotment still depends on category, seat type, and round dynamics.
Confidence: medium
Across listed branches and categories in 2025-26; CAP rounds where available
Scoped cutoff percentile range
0.41 - 90.14
Year: 2025-26
Fees per year
Not publicly available / needs verification
Year: N/A
Selectivity indicator
35.50
Year: 2025-26
NAAC grade
Not publicly available / needs verification
Year: N/A
Cutoff is not universal and varies by branch, category token, seat bucket, CAP round, and year.
These branch cards summarize where the current college shows the strongest MHT-CET evidence, including range, round visibility, and notable trend movement.
Standalone branch pages are published only for high-confidence branches with enough round-level evidence and parent colleges that already pass the ready-index threshold.
Artificial Intelligence and Machine Learning
Branch code: 92110
Percentile range: 3.00 - 90.14
This branch is not present in the current statewide top-movers sample, so treat current cutoffs as the main reference.
R1
90.14
R2
65.52
R3
52.88
Computer Science and Engineering
Branch code: 24210
Percentile range: 2.37 - 89.27
This branch is not present in the current statewide top-movers sample, so treat current cutoffs as the main reference.
R1
36.18
R2
28.30
R3
89.27
Computer Science and Engineering (Cyber Security)
Branch code: 26010
Percentile range: 4.14 - 76.76
This branch is not present in the current statewide top-movers sample, so treat current cutoffs as the main reference.
R1
76.76
R2
68.38
R3
36.18
Electrical Engineering
Branch code: 29310
Percentile range: 2.80 - 76.76
This branch is not present in the current statewide top-movers sample, so treat current cutoffs as the main reference.
R1
64.39
R2
19.45
R3
76.76
Computer Science and Engineering(Data Science)
Branch code: 91210
Percentile range: 8.54 - 73.47
This branch is not present in the current statewide top-movers sample, so treat current cutoffs as the main reference.
R1
73.47
R2
39.75
R3
69.33
Mining Engineering
Branch code: 70110
Percentile range: 4.15 - 54.59
This branch is not present in the current statewide top-movers sample, so treat current cutoffs as the main reference.
R1
54.59
R2
11.95
R3
6.92
same city alternative
Rajiv Gandhi College of Engineering Research & Technology Chandrapur is included as a same-city comparator using selectivity, cutoff scope, and location context.
similar fee profile
Government College of Engineering, Chandrapur is included as a demand-band comparator using selectivity, cutoff scope, and location context.
Students often group colleges with similar scoped cutoff bands as match options, then refine by location, fees, and branch priorities.
Actual allotment depends on category, seat type, CAP round dynamics, and year-specific changes.
Use cutoff as a scoped indicator by branch, category token, seat bucket, CAP round, and year, not as a universal number.
Treat displayed fees as source-tagged references and verify final fee circulars before submission.
No. This is a data-based decision-support page, not an admission guarantee.
Note: Allotments vary by category, seat type, CAP round, and yearly demand.
Last updated: 2026-02-24
CAP cutoff dataset 2025-26
api
Freshness: 2026-02-24
Open sourceInstitute metadata
csv
Freshness: 2026-02-24
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