IAESTE Internships

Location

India

Internship type

ON-SITE

Reference number

IN-2025-B1103-KU

Students Requirements

General discipline

Computer Science / Informatics

Completed Years of Study

3

Fields of Study

Languages

English Excellent (C1, C2)

Required Knowledge and Experience

-

Other Requirements

-

Work Details

Duration

8 - 8 Weeks

Within These Dates

21.07.2025 - 24.10.2025

Holidays

NONE

Work Environment

-

Gross pay

10000 INR / month

Working Hours

40.0 per week / 8.0 per day

Living Lodging

Type of Accommoditation

IAESTE- LC KARUNYA

Cost of lodging

5000 INR / month

Cost of living

8000 INR / month

Work Offered

Additional Info

1. The option to work from home is available for this offer. In this case, the available dates for the internship are from July 2025 - October 2025 and there will be no stipend provided.However, if the intern chooses to work at the employer's location, a stipend will be provided based on the dates specified in the 'Work Offered Field'.2. The intern is required to fill out the attached declaration form to confirm their preferred mode of internship.

Work description

Revolutionizing Hypertension Detection through Explainable AI and PPG SignalsOverview: Join our cutting-edge research project aimed at developing an interpretable and highly accurate model for detecting hypertension using photoplethysmography (PPG) signals. Contribute to advancing healthcare diagnostics and improving patient outcomes.Objectives:1) Develop an explainable AI model for hypertension detection using PPG signals2) Enhance the interpretability and reliability of the model for clinical use3) Improve the performance of hypertension detection through comprehensive analysisOutcomes:1) Gain hands-on experience in applying explainable AI techniques to healthcare2) Develop expertise in working with PPG signals and image-based feature extraction3) Contribute to a groundbreaking project with the potential for real-world impactIntern's Responsibilities:1) Assist in data acquisition, preprocessing, and conversion of PPG signals to images2) Implement and optimize feature extraction techniques for PPG images3) Collaborate on developing and validating the explainable AI model for hypertension detection

Deadline

23.05.2025