Academic Year 2025-2026

Indian Space Research Organisation (ISRO) – Master Control Facility (MCF), Hassan, Karnataka

The Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning), Rajarambapu Institute of Technology (RIT), organized a one-day industrial visit to the Indian Space Research Organisation (ISRO) – Master Control Facility (MCF), Hassan, Karnataka. The visit was arranged to provide participants with practical exposure to satellite operations, advanced communication technologies, and the real-world applications of Artificial Intelligence and data analytics in the space sector. A total of 54 students from the AI & ML department participated in the industrial visit.

The programme commenced with an introductory session conducted by ISRO officials, who warmly welcomed the participants and presented an overview of ISRO’s vision, mission, and significant contributions to satellite communication, navigation, and national development. During the technical briefing, experts explained the critical role of the Master Control Facility in monitoring and controlling geostationary satellites. The participants learned about satellite orbit raising, in-orbit payload testing, telemetry, tracking and command (TTC) systems, payload operations, station-keeping manoeuvres, eclipse management, and contingency recovery procedures. The session also highlighted the importance of uninterrupted satellite services for telecommunication, broadcasting, weather forecasting, and disaster management.

The industrial visit successfully bridged the gap between academic learning and industrial practices by providing valuable insights into real-time satellite management systems. Participants also explored the potential applications of Artificial Intelligence, Machine Learning, and data-driven technologies in anomaly detection, predictive maintenance, and mission analysis within the space domain.

Objectives

• To bridge the gap between academia and industry by understanding real-time satellite monitoring and control operations at ISRO.
• To gain exposure to advanced space communication technologies, including telemetry, tracking, and command systems.
• To explore the role of AI and data-driven techniques in space applications such as anomaly detection and predictive maintenance.
• To enrich teaching and research practices by integrating practical insights from national space programmes.

Guidance and Support

The event was organized under the valuable guidance and support of:

• Dr. P. V. Kadole, Director, RIT
• Dr. S. K. Patil, Dean Academics, RIT
• Dr. Manisha Pawar, IIC President, RIT
• Dr. S. S. Patil, HoD-CSE, RIT
• Dr. R. A. Medar, HoD, CSE (AI & ML), RIT

Faculty Members Visited

• Dr. Sushant Mangasuli
• Dr. Praveen Desai
• Prof. Vijaya Desai

Outcomes

• Enhanced understanding of real-time satellite operations and ISRO’s role in national services.
• Improved knowledge of telemetry, tracking, and command systems used for geostationary satellites.
• Increased awareness of AI, ML, and data analytics applications in space technology.
• Exposure to mission-critical infrastructure and engineering reliability practices.
• Motivation to integrate practical industry case studies into teaching, research, and student project guidance.

The industrial visit concluded with a vote of thanks to the ISRO team for their valuable interaction and knowledge sharing. The programme proved highly informative and inspiring, strengthening the connection between academia and national research organizations while encouraging innovation and technological excellence among participants.

AIC-ADT Baramati (Agro-Industrial Centre - Agriculture Development Trust, Baramati)

Date of Visit: 22 January 2026

Organized by: Department of Computer Science & Engineering (Artificial Intelligence and Machine Learning), Rajarambapu Institute of Technology (RIT), Rajaramnagar

Participants: 55 Second Year B.Tech (AI & ML) students

Introduction

The Department of Computer Science & Engineering (Artificial Intelligence and Machine Learning) at RIT organized a one-day industrial visit to AIC-ADT Baramati on 22 January 2026. The integration of AI, data analytics, IoT, and automation in agriculture has opened new avenues for enhancing productivity and sustainability. This visit was arranged to provide students with first hand exposure to real-world interdisciplinary applications of AI-driven technologies in the agriculture sector.

The program commenced with a warm welcome and an orientation session by the AIC-ADT coordinators, who briefed the students on the organization's vision, mission, and incubation activities. Technical experts delivered insightful sessions focusing on deep learning for crop disease detection, machine learning for yield prediction, and IoT-driven smart irrigation systems. Additionally, students received live demonstrations of incubated startup solutions, including sensor-based soil health monitoring, drone technology for crop surveillance, and mobile farmer advisory applications. The visit concluded with an exploration of the Krushi Exhibition 2026, which featured smart farming equipment, organic farming practices, and agri-machinery.

Objectives

• To provide students with practical, first hand exposure to AI and ML applications within the agriculture sector.
• To understand the role of technology-driven innovation, data analytics, IoT, and automation in modern farming practices.
• To expose students to real-time Agri Tech projects and incubated start ups to understand solution development and deployment.
• To correlate academic concepts taught in classroom courses (such as classification, regression, and neural networks) with real-world industrial use cases.
• To motivate students towards interdisciplinary research, innovation, and entrepreneurship in the agricultural domain.

Guidance and Support

The industrial visit was organized and conducted under the leadership and coordination of:

• Dr. R. A. Medar, Head of Department, CSE (AI & ML)
• Mrs. A. S. Patil, Industry Visit Coordinator
• Mrs. N. N. Patil, Industry Visit Coordinator

Outcomes

• Enhanced Technical Understanding: Students successfully correlated classroom concepts like neural networks and regression with practical agri-use cases like yield prediction and disease detection.
• Interdisciplinary Exposure: Achieved a deep understanding of how computer science integrates with agricultural sciences through AIoT, big data, and drones.
• Startup & Industry Awareness: Interacting with startup founders provided students with valuable insights into real-world problem identification, product deployment, and industry expectations.
• Ecosystem Insight: Exploring the Krushi Exhibition 2026 enriched the students' understanding of physical agricultural tools, smart equipment, and government schemes beyond software analytics.

Career and Research Motivation: Inspired students to pursue future research, academic projects, internships, and entrepreneurial ventures aimed at addressing societal challenges faced by farmers