IN-2025-A1107-JC

Computer Science / Informatics in India

Location

India

Internship type

ON-SITE

Reference number

IN-2025-A1107-JC

Students Requirements

General discipline

Computer Science / Informatics

Completed Years of Study

1

Fields of Study

Languages

English Good (B1, B2)

Required Knowledge and Experience

-

Other Requirements

-

Work Details

Duration

6 - 10 Weeks

Within These Dates

25.01.2025 - 30.09.2025

Holidays

NONE

Work Environment

-

Gross pay

15000 INR / month

Working Hours

35.0 per week / 7.0 per day

Living Lodging

Type of Accommoditation

IAESTE

Cost of lodging

-

Cost of living

10000 INR / month

Work Offered

Additional Info

Work description

Project Title: Multi-Modal Machine Learning System for Image and Audio ProcessingAim: Develop a versatile project utilizing machine learning for image processing with the potential to integrate voice, text, audio, and location-tracking technologies.Responsibilities:1. Define clear project objectives in collaboration with the team.2. Select appropriate machine learning algorithms for image processing tasks.3. Collect and prepare diverse datasets for training and evaluation.4. Implement image processing techniques using relevant ML libraries (e.g., TensorFlow, PyTorch).5. Explore and integrate voice, text, and audio processing functionalities.6. Implement location tracking features using GPS and relevant APIs.7. Design and develop a user-friendly interface for seamless interaction.8. Conduct thorough testing and optimization to enhance system performance.Outcomes:1. Gain hands-on experience in ML-based image processing.2. Acquire skills in integrating multi-modal data sources.3. Develop proficiency in popular ML libraries and tools.4. Understand location tracking technologies and their applications.5. Learn to design and implement complex, multi-modal systems.6. This project fosters a comprehensive skill set in machine learning and technology integration, preparing for future roles in advanced AI and data-driven projects.

Deadline

26.04.2025

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