IAESTE Internships

Location

India

Internship type

ON-SITE

Reference number

IN-2026-B4003-KU

Students Requirements

General discipline

Computer Science / Informatics

Completed Years of Study

3

Fields of Study

General
Computer and Information Research

Languages

English Excellent (C1, C2)

Required Knowledge and Experience

-

Other Requirements

The intern should have knowledge related to Python, Web development and Website design.

Work Details

Duration

20 - 20 Weeks

Within These Dates

15.04.2026 - 23.10.2026

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

This offer is from the Department of Computer Science and Engineering, and the intern's field of research would be Intelligent Seizure Prediction and Alert System using Machine Learning & Deep Learning.

Work description

Intelligent Seizure Prediction and Alert System using Machine Learning & Deep LearningOverview:This internship offers an exciting opportunity to work on a healthcare-oriented project that integrates biomedical signal processing with artificial intelligence. The main focus is predicting epileptic seizures in the pre-ictal stage using EEG data. Additionally, the project involves developing a robust and user-friendly web application that records seizure episodes, generates real-time alerts, and assists patients as well as caregivers in taking proactive measures to prevent critical situations.Objectives:1)Explore EEG data to identify and extract predictive patterns of seizure activity.2)Build and optimize ML/DL models for reliable early-stage epilepsy detection.3)Design and implement a responsive web application for logging and alerts.Outcomes:1)Gain hands-on experience in biomedical data preprocessing and model development.2)Acquire expertise in applying AI solutions for real-world healthcare challenges.3)Learn full-stack development skills by integrating AI models into web platforms.Intern's Responsibilities:1)Collect, clean, and preprocess EEG datasets for experimentation.2)Develop, test, and validate ML/DL models for seizure prediction.3)Assist in creating and deploying the web-based monitoring and alerting system.

Deadline

19.04.2026