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By:

Bhalchandra Chorghade

11 August 2025 at 1:54:18 pm

NMIA set for commercial take-off on December 25

Long-term expansion plans take shape Mumbai: Even as long-term expansion plans gather momentum, Navi Mumbai International Airport (NMIA) is preparing to mark a defining milestone with the commencement of commercial operations from December 25, 2025. Sources familiar with the development confirmed that the first flight is scheduled to land at NMIA at around 8.30 am from Bengaluru, operated by IndiGo. The same aircraft will subsequently depart for Delhi, symbolically placing the greenfield...

NMIA set for commercial take-off on December 25

Long-term expansion plans take shape Mumbai: Even as long-term expansion plans gather momentum, Navi Mumbai International Airport (NMIA) is preparing to mark a defining milestone with the commencement of commercial operations from December 25, 2025. Sources familiar with the development confirmed that the first flight is scheduled to land at NMIA at around 8.30 am from Bengaluru, operated by IndiGo. The same aircraft will subsequently depart for Delhi, symbolically placing the greenfield airport on India’s aviation map and formally integrating it into the country’s busiest air corridors. This operational launch comes at a time when the City and Industrial Development Corporation (CIDCO), the project’s nodal planning authority, has initiated the process to appoint a consultant for conducting a geotechnical feasibility study for a proposed third runway at NMIA. The parallel movement of near-term operational readiness and long-term capacity planning underlines the strategic importance of the airport, not just as a secondary facility to Mumbai, but as a future aviation hub in its own right. The December 25 launch date carries significance beyond symbolism. NMIA has been envisioned for over two decades as a critical solution to the capacity constraints at Chhatrapati Shivaji Maharaj International Airport (CSMIA), which operates close to saturation. With limited scope for further expansion at Mumbai’s existing airport, NMIA’s entry into operations is expected to ease congestion, rationalise flight schedules and improve overall passenger experience across the Mumbai Metropolitan Region (MMR). Modest Operations Initial operations are expected to be modest, focusing on select domestic routes, with Bengaluru and Delhi being logical starting points given their high passenger volumes and strong business connectivity with Mumbai and Navi Mumbai. Aviation experts note that starting with trunk routes allows operators and airport systems to stabilise operations, fine-tune processes and gradually scale up capacity. IndiGo’s choice as the first operator also reflects the airline’s dominant market share and its strategy of early-mover advantage at new airports. While NMIA’s first phase includes two runways, the initiation of a geotechnical feasibility study for a third runway highlights planners’ expectations of robust long-term demand. CIDCO’s move to appoint a consultant at this early stage suggests that authorities are keen to future-proof the airport, learning from the capacity limitations faced by CSMIA. A third runway, if found technically and environmentally feasible, would significantly enhance NMIA’s ability to handle peak-hour traffic, support parallel operations and attract international long-haul flights over time. The feasibility study will play a critical role in determining soil conditions, land stability, construction challenges and environmental sensitivities, particularly given Navi Mumbai’s complex terrain and proximity to mangroves and water bodies. Experts point out that such studies are essential to avoid cost overruns and execution delays, which have historically plagued large infrastructure projects in the region. From an economic perspective, the operationalisation of NMIA is expected to act as a catalyst for growth across Navi Mumbai and adjoining regions. Improved air connectivity is likely to boost commercial real estate, logistics parks, hospitality and tourism, while also strengthening the case for ancillary infrastructure such as metro lines, road corridors and airport-linked business districts. The timing of the airport’s opening also aligns with broader infrastructure upgrades underway in the MMR, including new highways and rail connectivity, which could amplify NMIA’s impact. However, challenges remain. Smooth coordination between airlines, ground handling agencies, security forces and air traffic control will be critical during the initial phase. Any operational hiccups could affect public perception of the new airport, making the first few weeks crucial. Additionally, the transition of flights from CSMIA to NMIA will need careful calibration to ensure passenger convenience and airline viability. As NMIA prepares to welcome its first aircraft on December 25, the simultaneous push towards planning a third runway signals a clear message: the airport is not just opening for today’s needs, but is being positioned to serve the region’s aviation demands for decades to come.

AI Meets Language Learning: A New Era in Education

AI is no longer merely assisting in language learning; it’s transforming how we speak, write, and connect.

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I speak three languages, write in two, and dream in one. – Kamla Das (Indian English poet)


In a world where language is deeply tied to identity, thought, and expression, artificial intelligence is playing a pivotal role in reshaping how we learn and use language. From personalised learning paths to real-time feedback, AI is transforming interpersonal communication, language acquisition, and public speaking, especially among students. In the age of rapid technological advancement, artificial intelligence is transforming every corner of human life, education being no exception to it. One of the most exciting developments in this space is how AI is revolutionising language learning, making it more personalised, efficient, and accessible than ever before.


It provides personalised learning, real-time feedback, and interactive real-life experiences. There are different tools and variables for sampling in pedagogy. AI-based language learning uses technologies like machine learning, natural language processing, and large language models to customise and enhance the learning process. Teaching and learning through AI can facilitate employment. In today’s highly competitive job market, especially in the technical and corporate sectors, strong communication skills have become essential for securing employment and sustaining career growth. AI-driven chatbots, like ChatGPT, can simulate real-life conversations, helping students practice speaking and writing English. Other tools like Google's Speech-to-Text and ELSA Speak help improve pronunciation and fluency. It even provides real-time corrections for grammar, style, and vocabulary.


Traditional methods of language learning face challenges such as limited teacher availability, lack of immersion, and one-size-fits-all teaching. AI tools address issues by offering interactive and adaptive experiences. There are some revolutionary platforms like Duolingo, Babbel, and Enguru, which provide customised exercises to strengthen English proficiency. With the help of this weapon, one can generate personalised writing topics and provide instant feedback to enhance technical writing and documentation skills. AI brought a new perspective to soft skills training, like mock interview platforms that analyse tone, clarity, and confidence to provide constructive feedback. Apart from that, it has changed the scenario of analysing speech patterns and providing insights on improving articulation, argument structure, and confidence in group discussion, presentation, debate, and other media of assessments.


AI-powered language tools are often accessible from smartphones and require no physical infrastructure, but they open up opportunities for students in remote or underprivileged regions. Many platforms offer free or low-cost access, ensuring that language education is not restricted to the elite. AI has also been crucial in developing new formats and techniques for presentation and public speaking. Speech Analytics Software AI-powered tools like Orai and Yoodli analyse speaking speed, filler words, and clarity, helping students improve presentation skills. It also features automated speech evaluation. AI can assess pronunciation, intonation, and fluency to refine speaking abilities. AI also facilitates content generation for official correspondence, technical communication, and other soft skills. It assists in drafting writing. AI tools can help draft project reports, research papers, and technical documents more effectively. We benefit from real-time translation and multilingual support by AI; tools like Google Translate help students understand and express complex concepts in multiple languages.


AI focuses on collaboration and networking, such as tools like Microsoft Copilot and ChatGPT, which help students draft professional emails and even discussion forums. These platforms moderate and provide feedback on student discussions, improving their online communication skills. AI has had a spellbound impact on the technical and engineering field through its implementation in Indian engineering institutions. Integration in curriculum: AI-based communication training modules can be embedded into engineering programs. In many universities, AI-powered language labs have started for real-time practice and assessment. Overall, by leveraging AI, engineering students in India can significantly enhance their communication skills, making them more industry-ready and globally competitive.


In a nutshell, as AI continues to evolve, its role in language learning will only grow stronger. The key lies in using it thoughtfully to enhance, not overshadow, the human element in education. With the right balance, AI can help create a multilingual world where learning is easier, faster, and more engaging than ever before.


(The author is an assistant Professor of Language and Literature. Views personal.)

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