IIT-Kharagpur achieves 1,000 job offers in just three days of placement drive

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The Indian Institute of Technology (IIT)-Kharagpur on Friday reported a significant achievement in its placement process for the 2024-25 academic year, surpassing 1,000 job offers within the first three days, reported PTI.

According to a statement from the institute, this milestone was reached on Tuesday, following an impressive start on the initial two days which accounted for over 800 offers, including pre-placement offers (PPOs).

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Day three also witnessed another surge in opportunities, bringing the total number of offers to over 1,000 on December 3, stated PTI.

The placement drive has attracted top-tier companies across various sectors, such as high-frequency trading, software development, analytics, finance, banking, and consulting firms and extended "lucrative roles to IIT Kharagpur students", the statement said.

It said this year, the campus witnessed a handful of core engineering companies in the early phase of placement, "which is remarkable," stated PTI.

"The students have shown tremendous precision and tenacity to compete in the present job market and career opportunities," Institute Director Prof V K Tewari said.

"I am equally grateful to all the companies and organisations, who believed in the merits and capabilities of our students and encouraged them," he added.

In addition to national opportunities, the institute reported that students have already secured twenty international job offers, further underscoring the global appeal of IIT Kharagpur graduates.

IIT Bombay develops app that can help oral fluency for readers

The Indian Institute of Technology Bombay (IIT-B) recently developed a mobile application that can measure oral reading fluency automatically using speech processing and machine learning technology.

The app - Teacher's Assistant for Reading Assessment (TARA) - will help in examining and enhancing oral reading fluency in students and it has been adopted by the Kendriya Vidyalaya Sangathan (KVS), the institute stated.

"The system is trained on expert-annotated recordings of children's reading and currently works for English and Hindi, with its reliability verified to match that of human experts," said Preeti Rao, a professor from IIT-B's department of electrical engineering, who led the project, in a statement.

From an audio recording of a child reading a level-appropriate passage aloud,

TARA can extract rubrics for ORF (oral reading fluency), which includes WCPM (words correct per minute) from an audio recording of a child reading a passage at an appropriate level, said the statement.

(With agency inputs)