As of December 6, 2023, the Delhi Land & Finance Limited (DLF) lead the list of Indian real estate companies for residential and commercial complexes with a market capitalization of over ***** billion Indian rupees. The National Stock Exchange (NSE) in New Delhi includes ** real estate developers under this category. The real estate industry is one of the fastest growing sectors in India and was estimated to reach a total value of ************ U.S. dollars by 2030.
Who is driving the real estate industry? With the central government tightening regulations in the residential segment in recent years and a mismatch of demand and supply for housing, the commercial, office, and retail segments have been the key drivers within the real estate industry. Nevertheless, all segments felt the impacts of the coronavirus crisis in 2020 with less transactions, less realizations, rising vacancies and falling prizes. DLF Limited The Delhi Land & Finance Limited (DLF) was founded in 1946 in New Delhi. At first, it developed residential colonies in renown neighborhoods in southern Delhi, such as Greater Kailash and Hauz Khas. When the government took control over real estates in Delhi in the mid-1950s, DLF concentrated on other locations and the commercial segment. From the 1970s onwards, it was one of the driving factors in developing the small town of Gurugram (formerly known as Gurgaon) into a vibrant city. In financial year 2020, DLF reported a consolidated revenue of nearly ** billion Indian rupees. Besides its residential projects and high-end shopping malls, DLF gained popularity as the title sponsor of the Indian Premier League between 2008 and 2012.

India Real Estate Industry Report is Segmented by Property Type (Residential, Office, Retail, Hospitality, and Industrial) and Key Cities (Mumbai Metropolitan Region (MMR), Delhi NCR, Pune, Chennai, Hyderabad, Bengaluru and Rest of India). The Report Offers the Market Size and Forecasts in Value (USD) for all the Above Segments.

Irambati is a leading real estate company that provides property listings and market insights to individuals seeking to buy, sell, or rent properties in India. As a prominent player in the Indian real estate market, Irambati's website features a vast array of data on residential and commercial properties, including prices, locations, and amenities.

The company's data repository includes a wide range of property types, from apartments to independent houses, and covers major cities and towns across India. Irambati's expertise in the Indian real estate market, combined with its vast database of property listings, makes it an invaluable resource for anyone seeking to make an informed decision about their property needs.

The Indian real estate market, valued at $330 million in 2025, is projected for robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 25.60% from 2025 to 2033. This expansion is fueled by several key drivers. Increasing urbanization and a burgeoning middle class are creating significant demand for residential properties across various segments, including affordable housing, luxury apartments, and villas. The growth of the IT and ITeS sectors, coupled with robust foreign direct investment (FDI) inflows, is bolstering the office and commercial real estate segments. Government initiatives promoting affordable housing and infrastructure development further contribute to this positive trajectory. However, challenges remain. High land costs, complex regulatory processes, and cyclical economic fluctuations pose potential restraints. The market is segmented by property type (residential, office, retail, hospitality, industrial), with residential real estate currently dominating the market share. Key players like DLF, Sobha Limited, and Prestige Estates Projects Ltd. are actively shaping the market landscape through innovative projects and strategic expansions. The regional distribution of the market shows a concentration in major metropolitan areas, although secondary cities are experiencing increasing activity. Looking ahead, the Indian real estate market presents both significant opportunities and challenges. The sustained growth in the economy, coupled with supportive government policies, is likely to propel continued expansion. However, developers need to adapt to evolving consumer preferences, focusing on sustainability, smart technologies, and affordable options. Effective risk management strategies are crucial to navigate the inherent cyclicality of the real estate market. The focus on transparency and efficient regulatory frameworks will be instrumental in fostering a more stable and sustainable real estate sector, attracting both domestic and international investors. Data suggests that the residential sector will continue to lead the growth trajectory, driven by the increasing demand for housing in rapidly developing urban centers. The diversification across property types and geographical regions is expected to mitigate risk and ensure a balanced market growth. This comprehensive report provides an in-depth analysis of the Indian real estate market, covering the period from 2019 to 2033, with a focus on the year 2025. It delves into market size, segmentation, key trends, and future growth projections, offering invaluable insights for investors, developers, and industry stakeholders. The report uses data from the historical period (2019-2024), the base year (2025), and forecasts for the period 2025-2033. High-search-volume keywords like Indian real estate market, Indian property market trends, residential real estate India, commercial real estate India, and Indian real estate investment are strategically integrated throughout. Recent developments include: March 2024: Mahindra Lifespaces, the real estate and infrastructure development arm of the Mahindra Group, completed the acquisition of a 9.4-acre land parcel in Whitefield, Bengaluru. The land, with a potential floor space index (FSI) of approximately 1.2 million sq ft, is estimated to have a Gross Development Value (GDV) of INR 1700 crore (USD 20.39 million). The development primarily focuses on mid-premium residential apartments. Mahindra Lifespaces plans to kickstart the project's inaugural phase within a year., February 2024: Dholera Smart City, an ambitious greenfield project in Gujarat, India, is on a mission to establish an economically vibrant and eco-friendly urban hub. As of now, about 30% of the Phase 1 infrastructure is already in place, and prospective buyers can now invest in residential plots and villas. The authorities are eyeing a completion timeline of 2024-2025 for Phase 1, with subsequent phases slated for future expansion.. Key drivers for this market are: Government Initiatives are Driving the Market, Demand for Luxury Apartments is Rising. Potential restraints include: High-interest Rates. Notable trends are: Increasing Demand for Affordable Housing.

The Indian real estate market, valued at $518.5 million in 2025, is poised for robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 8.71% from 2025 to 2033. This growth is fueled by several key factors. Increasing urbanization and a burgeoning middle class are driving demand for residential properties, particularly in Tier-1 and Tier-2 cities. The rise of nuclear families and changing lifestyles are also contributing to this trend. Furthermore, government initiatives aimed at infrastructure development and affordable housing, coupled with favorable interest rates (though subject to market fluctuations), are stimulating investment. The commercial real estate sector is also witnessing significant growth, driven by the expansion of IT and other businesses, leading to increased demand for office spaces and retail outlets. While challenges such as regulatory hurdles and land acquisition complexities persist, the overall outlook remains positive, with substantial opportunities for both domestic and international investors. The market segmentation reveals a diverse landscape. Residential real estate dominates the market share, followed by commercial (office and retail) and hospitality segments. Industrial real estate is also experiencing growth, propelled by the expansion of manufacturing and logistics sectors. Key players like Godrej Properties, Prestige Estates Projects, Oberoi Realty, DLF, and others are actively shaping the market dynamics through large-scale projects and innovative developments. Geographical distribution shows strong concentration in major metropolitan areas, but secondary cities are also witnessing significant growth as infrastructure improves and economic activity diversifies. While the global economic climate presents some uncertainties, the long-term fundamentals of the Indian real estate market remain strong, making it an attractive investment destination. Recent developments include: October 2024: In the second quarter of the financial year 2024-25, Godrej Properties secured six new land parcels, aligning with its ambitious plan to roll out housing projects valued at ₹9,650 crore. This move underscores the company's expansion strategy, driven by robust market demand. Godrej Properties employs a dual approach in its land acquisitions: outright purchases and partnerships with landowners for joint developments. In its operational updates for the July-September quarter, the company revealed that in the first half of the financial year 2024-25, it has successfully added 8 new land parcels, boasting an estimated saleable area of approximately 11 million square feet and a potential booking value of around ₹12,650 crore.September 2024: DLF, a publicly listed real estate developer based in Delhi NCR, is set to bolster its retail portfolio with the construction of three new malls in Delhi, Gurugram, and Goa. The new malls will be located in Moti Nagar (central-west Delhi), DLF Phase-5 in Gurugram, and Panjim in Goa. Currently, DLF boasts a retail portfolio of approximately 5 million square feet. With the addition of these new malls, the portfolio is projected to expand to around 6.3 million square feet once they become operational.. Key drivers for this market are: Government Initiatives are Driving the Market, Demand for Luxury Apartments is Rising. Potential restraints include: Government Initiatives are Driving the Market, Demand for Luxury Apartments is Rising. Notable trends are: 2024 Sees Robust Growth in Indian Housing Market, Led by Premium and Luxury Segments.

The India Luxury Residential Real Estate Market Report is Segmented by Property Type (Apartments & Condominiums, and Villas & Landed Houses), by by Business Model (Sales and Rental), by Mode of Sale (Primary and Secondary), by City (Delhi NCR, Mumbai, Bengaluru, Hyderabad, Pune, Chennai, Kolkata and Other Cities). The Report Offers Market Size and Forecast Values (USD) for all the Above Segments.

Introduction

This Indian English Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for English -speaking Real Estate customers. With over 30 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

Speech Data

The dataset features 30 hours of dual-channel call center recordings between native Indian English speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

Topic Diversity

This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

Such domain-rich variety ensures model generalization across common real estate support conversations.

Transcription

All recordings are accompanied by precise, manually verified transcriptions in JSON format.

These transcriptions streamline ASR and NLP development for English real estate voice applications.

Metadata

Detailed metadata accompanies each participant and conversation:

This enables smart filtering, dialect-focused model training, and structured dataset exploration.

Usage and Applications

This dataset is ideal for voice AI and NLP systems built for the real estate sector:

A dataset of the most effective real estate SEO keywords based on Google search trends, keyword difficulty, and intent targeting for 2025.

The real estate generator market is projected to reach a value of 2.14 billion USD by 2033, expanding at a CAGR of 8.76% during the forecast period of 2025-2033. The rising demand for real estate services, coupled with the growing adoption of digital technologies in the industry, is driving the market growth. Additionally, the increasing population, urbanization, and disposable income in developing countries are further contributing to the market expansion. Key market segments include type of property (residential, commercial, industrial, land), end-user (individuals, developers, investors, brokers), and functionality (property listing creation, lead generation, property management, market analysis). The residential segment holds the largest market share due to the high demand for housing units, while the commercial segment is expected to grow at the fastest rate due to increasing investments in commercial properties. The major market players include Zoopla, REA Group, realestate.com.au, Trulia, Zillow, Domain, Movoto Real Estate, Realtor.com, thinkproperty.com.au, Realestateview.com.au, Redfin, Rightmove, OnTheMarket.com, and Homes.com. The market is expected to witness significant growth in the Asia Pacific region, driven by the rapid urbanization and economic growth in countries such as China, India, and Japan. Recent developments include: The Real Estate Generator Market is projected to reach USD 4.56 billion by 2032, exhibiting a CAGR of 8.76% from 2024 to 2032. The increasing adoption of digital technologies in the real estate industry, growing demand for personalized property recommendations, and rising popularity of online real estate platforms are key factors driving market growth. Recent developments include the integration of AI and machine learning into real estate generators to provide more accurate and tailored property recommendations, the launch of mobile-based real estate generator apps for on-the-go property search, and partnerships between real estate companies and technology providers to offer advanced real estate generator solutions.. Key drivers for this market are: Rising urban population Increased adoption of digitalization Growing demand for personalized real estate experiences Focus on energy efficiency and sustainability Expanding smart home and virtual reality technologies.. Potential restraints include: Increasing urbanization, technological advancements; growth of smart cities; rising disposable income and government initiatives.

Introduction

This Tamil Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Tamil -speaking Real Estate customers. With over 30 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

Speech Data

The dataset features 30 hours of dual-channel call center recordings between native Tamil speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

Topic Diversity

This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

Such domain-rich variety ensures model generalization across common real estate support conversations.

Transcription

All recordings are accompanied by precise, manually verified transcriptions in JSON format.

These transcriptions streamline ASR and NLP development for Tamil real estate voice applications.

Metadata

Detailed metadata accompanies each participant and conversation:

This enables smart filtering, dialect-focused model training, and structured dataset exploration.

Usage and Applications

This dataset is ideal for voice AI and NLP systems built for the real estate sector:

the Market Report Covers Commercial Real Estate Growth in India and is Segmented by Type (Offices, Retail, Industrial and Logistics, and Hospitality) and by Key Cities (Mumbai, Bangalore, Delhi, Hyderabad, and Other Cities). the Market Size and Forecasts for the Commercial Real Estate Market in India are Provided in Terms of Value (USD) for all the Above Segments.

The Global Commercial Real Estate industry has declined over the past five years. Specifically, investor confidence slightly declined over the same period as COVID-19 severely constricted demand. As a result, industry revenue is expected to slightly decline an annualized 2.5% to $4.3 trillion over the five years to 2023, including an anticipated increase of 1.6% in 2023 as the economy recovers from the coronavirus pandemic.The growth of a country's economy tends to boost industry revenue since business expansions and higher consumer spending often creates demand for industry services, such as office leasing, sales and brokerage services. The strong expansion of Asian economies through investments and increasing consumer spending have aided revenue growth over much of the current period. However, this industry is dominated by developed economies and, consequently, the global industry's direction is swayed by these regions' economic performance. Political tensions in these markets have affected the level of investment since investors can be discouraged when uncertainty in economic outlooks rises. As a result, the industry is susceptible to turmoil that has a global reach, such as trade conflicts and pandemics. This has contributed to a slight revenue decline during the current period. Consequently, the average industry profit margin has narrowed due to the coronavirus pandemic. More specifically, in 2020, the average industry profit margin, measured as earnings before interest and taxes, dipped to 6.8% in 2023.The industry will rebound over the next five years as investor uncertainty shrinks as the threat of the coronavirus pandemic wanes. Increasing aggregate private investment and consumer spending will drive industry revenue growth as they fuel the expansion of business and retail operations. The global commercial real estate market will increasingly shift investments toward burgeoning countries, such as India and China, where consistent growth will likely be apparent over the coming years. Overall, industry revenue is forecast to grow an annualized 1.3% to $4.6 trillion over the five years to 2028.

Capital-Lease-Obligations Time Series for Info Edge (India) Limited. Info Edge (India) Limited operates as an online classifieds company in the areas of recruitment, matrimony, real estate, and education and related services in India and internationally. It operates through Recruitment Solutions, 99acres, and Other segments. The company offers recruitment services through naukri.com, an online job website for job seekers and corporate customers, including hiring consultants/firms; firstnaukri.com, a job search network for college students and recent graduates; naukrigulf.com, a website catering to Middle East job markets; and quadranglesearch.com, a site that provides offline placement services to middle and senior management, as well as www.ambitionbox.com, www.jobhai.com, and www.bigshyft.com. It also provides 99acres.com, which offers listing of properties for sale, purchase, and rent; Jeevansathi.com, an online matrimonial classifieds services; and shiksha.com, an education classified website that helps students to decide their undergraduate and postgraduate options by providing useful information on careers, exams, colleges, and courses. In addition, it provides software consultancy and supply services; database services, including database processing and tabulation, online information and data retrieval, electronic data interchange, web search portal content, code and protocol conversion services, etc.; internet, computer, and electronic and related services; technical support; and other services in the field of information technology and product development, as well as brokerage services in the real estate sector. Additionally, the company is involved in the development of software, as well as acts as an investment adviser, financial and management consultant, investment manager, and sponsor of alternative investment funds. It also provides advertising space for colleges and universities on www.shiksha.com.Info Edge (India) Limited was incorporated in 1995 and is based in Noida, India.

Introduction

This Marathi Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Marathi -speaking Real Estate customers. With over 40 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

Speech Data

The dataset features 40 hours of dual-channel call center recordings between native Marathi speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

Topic Diversity

This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

Such domain-rich variety ensures model generalization across common real estate support conversations.

Transcription

All recordings are accompanied by precise, manually verified transcriptions in JSON format.

These transcriptions streamline ASR and NLP development for Marathi real estate voice applications.

Metadata

Detailed metadata accompanies each participant and conversation:

This enables smart filtering, dialect-focused model training, and structured dataset exploration.

Usage and Applications

This dataset is ideal for voice AI and NLP systems built for the real estate sector:

Introduction

This Odia Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Odia -speaking Real Estate customers. With over 40 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

Speech Data

The dataset features 40 hours of dual-channel call center recordings between native Odia speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

Topic Diversity

This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

Such domain-rich variety ensures model generalization across common real estate support conversations.

Transcription

All recordings are accompanied by precise, manually verified transcriptions in JSON format.

These transcriptions streamline ASR and NLP development for Odia real estate voice applications.

Metadata

Detailed metadata accompanies each participant and conversation:

This enables smart filtering, dialect-focused model training, and structured dataset exploration.

Usage and Applications

This dataset is ideal for voice AI and NLP systems built for the real estate sector:

Rents of industrial and logistics real estate are forecast to show mixed trends across the leading markets in the Asia-Pacific (APAC) region in 2025. Hyderabad was forecasted to see an increase in industrial and logistics rents of about *** percent, while the rents of these real estates in Beijing, China, were projected to decrease by about ** percent in 2025.

Home Inspection Service Market Outlook

The global home inspection service market size is projected to expand from USD 3.5 billion in 2023 to USD 6.8 billion by 2032, reflecting a compound annual growth rate (CAGR) of 7.2%. This growth is driven by increasing awareness of property safety, rising property transactions, and stringent government regulations.

One of the primary growth factors in the home inspection service market is the rising awareness among homebuyers regarding the importance of property inspections before purchase. This awareness is fueled by the increasing number of property-related lawsuits and the desire to avoid unforeseen expenses. As more people recognize the long-term financial benefits of a thorough home inspection, the demand for these services is expected to grow substantially. Additionally, the trend of urbanization and the subsequent rise in real estate transactions further bolster this market's expansion.

Another factor propelling the market forward is the introduction of stringent government regulations and standards related to property safety and inspection. In many regions, regulatory bodies mandate home inspections as part of the property transaction process to ensure safety and compliance with local building codes. This regulatory pressure has not only increased the necessity for home inspections but has also led to the professionalization of the industry, with more certified and trained inspectors entering the market.

The technological advancements in inspection tools and software have also significantly contributed to the market growth. Modern inspection tools, such as drones for roof inspections and thermal imaging cameras for detecting insulation issues, have made inspections more thorough and efficient. Additionally, the integration of software solutions for inspection reporting and data management has streamlined operations, making it easier for inspectors to deliver detailed and accurate reports to clients. These technological innovations have enhanced the value proposition of home inspection services, thereby driving market growth.

From a regional perspective, North America holds a significant share of the home inspection service market, owing to the high rate of property transactions and stringent regulatory requirements. However, emerging markets in the Asia Pacific region are expected to witness the highest growth rate during the forecast period. This growth is attributed to the rapid urbanization and increasing awareness of property safety in countries such as China and India. Europe also presents substantial growth opportunities due to the established real estate markets and regulatory frameworks governing property transactions.

Service Type Analysis

The home inspection service market is segmented into various service types, including pre-purchase inspection, pre-listing inspection, new construction inspection, home maintenance inspection, and others. Pre-purchase inspection services dominate the market, primarily because they are crucial for homebuyers aiming to make informed purchasing decisions. These inspections provide a comprehensive evaluation of a property’s condition, helping buyers identify potential issues and negotiate better terms. The growing complexity of modern homes, with advanced electrical and plumbing systems, further necessitates thorough pre-purchase inspections.

Pre-listing inspections are also gaining traction as sellers increasingly recognize the benefits of identifying and addressing property issues before listing. This proactive approach can prevent last-minute negotiations or deals falling through, as it builds transparency and trust with potential buyers. These inspections are particularly valuable in competitive real estate markets, where sellers aim to differentiate their properties by ensuring they are in top condition.

New construction inspections are another vital segment, particularly in regions experiencing significant real estate development. These inspections ensure that new buildings comply with local building codes and standards, providing peace of mind to both developers and buyers. Given the surge in new housing projects, particularly in emerging economies, this segment is poised for substantial growth. The growing complexity and scale of new construction projects necessitate specialized inspection services, further driving demand in this segment.

Home maintenance inspections are increasingly being sought by homeowners who want to proactively maintain their properties and avoid costly rep

Introduction

This Gujarati Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Gujarati -speaking Real Estate customers. With over 30 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

Speech Data

The dataset features 30 hours of dual-channel call center recordings between native Gujarati speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

Topic Diversity

This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

Such domain-rich variety ensures model generalization across common real estate support conversations.

Transcription

All recordings are accompanied by precise, manually verified transcriptions in JSON format.

These transcriptions streamline ASR and NLP development for Gujarati real estate voice applications.

Metadata

Detailed metadata accompanies each participant and conversation:

This enables smart filtering, dialect-focused model training, and structured dataset exploration.

Usage and Applications

This dataset is ideal for voice AI and NLP systems built for the real estate sector:

Introduction

This Punjabi Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Punjabi -speaking Real Estate customers. With over 30 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

Speech Data

The dataset features 30 hours of dual-channel call center recordings between native Punjabi speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

Topic Diversity

This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

Such domain-rich variety ensures model generalization across common real estate support conversations.

Transcription

All recordings are accompanied by precise, manually verified transcriptions in JSON format.

These transcriptions streamline ASR and NLP development for Punjabi real estate voice applications.

Metadata

Detailed metadata accompanies each participant and conversation:

This enables smart filtering, dialect-focused model training, and structured dataset exploration.

Usage and Applications

This dataset is ideal for voice AI and NLP systems built for the real estate sector:

As of September 2024, Mumbai had the highest cost of living among other cities in the country, with an index value of ****. Gurgaon, a satellite city of Delhi and part of the National Capital Region (NCR) followed it with an index value of ****.  What is cost of living? The cost of living varies depending on geographical regions and factors that affect the cost of living in an area include housing, food, utilities, clothing, childcare, and fuel among others. The cost of living is calculated based on different measures such as the consumer price index (CPI), living cost indexes, and wage price index. CPI refers to the change in the value of consumer goods and services. The wage price index, on the other hand, measures the change in labor services prices due to market pressures. Lastly, the living cost indexes calculate the impact of changing costs on different households. The relationship between wages and costs determines affordability and shifts in the cost of living. Mumbai tops the list Mumbai usually tops the list of most expensive cities in India. As the financial and entertainment hub of the country, Mumbai offers wide opportunities and attracts talent from all over the country. It is the second-largest city in India and has one of the most expensive real estates in the world.