IAESTE Internships

Location

India

Internship type

ON-SITE

Reference number

IN-2025-B1105-KU

Students Requirements

General discipline

Civil Engineering
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

6 - 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

This offer is from the Department of Computer Science and Engineering and the intern's field of research would be AI-driven landslide detection and Mitigation

Work description

AI-Powered Landslide Prediction and MitigationOverview:Join our cutting-edge AI project, where you'll play a pivotal role in developing an AI-powered landslide detection and prevention system. Leverage environmental sensors, satellite imagery, and geological data to predict landslide risks and issue timely early warnings. Contribute to identifying high-risk areas for preventive measures, enhancing community resilience in mountainous and hilly regions.Objectives:1. Assist in the development and optimization of AI algorithms for landslide risk assessment.2. Collaborate with environmental scientists and geologists to integrate sensor data into predictive models.3. Participate in field surveys to collect data and validate system performance.Outcomes:1. Gain hands-on experience with AI techniques for environmental risk management.2. Develop expertise in landslide prediction and mitigation strategies.3. Enhance understanding of the role of technology in disaster prevention and community resilience.Intern's Responsibilities:1. Analyze environmental sensor data to identify potential landslide triggers.2. Develop visualization tools to communicate landslide risks to stakeholders.3. Participate in community outreach programs to educate residents about landslide preparedness.

Deadline

30.04.2025