Robotics and Artificial Intelligence cutoff, Yashoda Technical Campus, Wadhe, Satara.

Robotics and Artificial Intelligence at Yashoda Technical Campus, Wadhe, Satara. closed at merit 1,78,303 (47.82 percentile) in CAP 2026 Round I on open seats, 1,41,949 in the last round.

CAP 2026, Round I closing
1,78,303 (47.82 percentile)
CAP 2026, last round closing
1,41,949 (62.60 percentile)
Seat type
General open, state level
CAP seats
60
All India seats, Round I closing
All India merit 2,18,633
Fee
₹1,29,000 a year (FRA-approved, 2026-27)
College placements
₹2.7 lakh median salary (NIRF, batch 2022-23)
Years of data
2024, 2025, 2026
Choice code
0675726610
CAP 2026 Round I closing by seat type
Seat typeClosing merit numberPercentile
General open, state level1,78,30347.82
General OBC, state level2,26,1978.92
General SEBC, state level1,98,99036.18
General NT-B, state level2,09,75927.95
General NT-C, state level2,06,17230.90
Ladies open, state level1,37,26263.95
Tuition fee waiver (TFWS)1,16,54770.69

Questions

What was the Robotics and Artificial Intelligence cutoff at Yashoda Technical Campus, Wadhe, Satara. in CAP 2026?

It closed at merit 1,78,303 (47.82 percentile) in CAP 2026 Round I on open seats, 1,41,949 in the last round.

What were the category cutoffs (OBC, SC, ST, EWS, TFWS)?

Round I closing merit numbers in CAP 2026: General OBC, state level 2,26,197; General SEBC, state level 1,98,990; General NT-B, state level 2,09,759; General NT-C, state level 2,06,172; Ladies open, state level 1,37,262; Tuition fee waiver (TFWS) 1,16,547.

What was the All India (JEE Main) cutoff?

All India seats closed at All India merit 2,18,633, in Round I of CAP 2026.

How many CAP seats does Robotics and Artificial Intelligence at Yashoda Technical Campus, Wadhe, Satara. have?

60 seats in the CAP 2026 seat matrix, across all seat types.

Similar cutoffs nearby

Computer & IT engineering colleges in Satara

Other branches at Yashoda Technical Campus, Wadhe, Satara.

Closing merit numbers from the official State CET Cell CAP lists. Past cutoffs describe what happened, not what will happen.