About This Hackathon

<h3>Predicting Property Prices in Bengaluru</h3><p><strong>What factors influence a potential home buyer's decision?</strong><br>Home buyers often evaluate several criteria, including:</p><ul><li>Location and proximity to essential amenities like offices, schools, parks, restaurants, and hospitals.</li><li>Size and layout of the property.</li><li>Aesthetic considerations like having a balcony or a "white picket fence."</li><li>And most importantly—<strong>price</strong>.</li></ul><p>In recent years, the real estate market in India has seen significant changes. The lingering effects of <strong>demonetization</strong>, the enforcement of the <strong>Real Estate (Regulation and Development) Act (RERA)</strong>, and trust issues with property developers have all contributed to a <strong>7% drop in housing sales across India in 2017</strong>.</p><p>For example, property prices in Bengaluru alone dropped by nearly <strong>5% in the second half of 2017</strong>, according to a study by <strong>Knight Frank</strong>. A report by <strong>Makaan</strong> further reveals that:</p><ul><li>Over <strong>9,000 apartments</strong> are available in the ₹42–52 lakh range.</li><li>Approximately <strong>7,100 apartments</strong> fall within the ₹52–62 lakh range.</li><li>The ₹15–25 lakh budget segment includes <strong>5,000+ projects</strong>, followed by <strong>projects in the ₹34–43 lakh range</strong>.</li></ul><h3>Buying a Home in Bengaluru: A Unique Challenge</h3><p>With Bengaluru's millennial workforce, dynamic culture, favorable climate, and booming job market, deciding the right price for a property can be daunting. Understanding property prices in <strong>Namma Bengaluru</strong> requires analyzing a combination of factors.</p><h3>Dataset Overview</h3><p>The dataset contains detailed information about properties in Bengaluru. It has been meticulously curated over months of <strong>primary and secondary research</strong> by a dedicated team.</p><p><strong>Train and Test Data:</strong></p><ul><li>Each row represents a property with a fixed set of <strong>9 features</strong> (categorical and continuous).</li><li>These features provide insights into the property’s characteristics and pricing.</li></ul><h3>Features:</h3><ol><li><strong>Area_type</strong>: Type of area (e.g., built-up, super-built-up).</li><li><strong>Availability</strong>: Indicates possession status or readiness (categorical or time-series).</li><li><strong>Location</strong>: The property’s location in Bengaluru.</li><li><strong>Price</strong>: The price of the property (in lakhs, INR).</li><li><strong>Size</strong>: Number of bedrooms (BHK: 1–10 or more).</li><li><strong>Society</strong>: The society or community the property belongs to.</li><li><strong>Total_sqft</strong>: Total area of the property (in sq. ft).</li><li><strong>Bath</strong>: Number of bathrooms.</li><li><strong>Balcony</strong>: Number of balconies.</li></ol><h3>Problem Statement:</h3><p>Using the given <strong>9 features</strong>, build a robust machine learning model to predict the <strong>price of houses</strong> in Bengaluru. This will help potential home buyers and property developers make informed decisions based on reliable data-driven insights.</p>

Key Information

• Category: Hackathon
• Difficulty Level: Beginner
• Status: Expired
• Start Date: 2018-03-19T00:00:00Z
• End Date: 2025-11-03T00:00:00Z
• Current Participants: 3532

Prizes and Awards

Knowledge

Rules and Guidelines

<p>One account per participant. Submissions from multiple accounts will lead to disqualification.<br>The submission limit for the hackathon is 10 per day after which the submission will not be evaluated.<br>All registered users are eligible to participate in the hackathon We ask that you respect the spirit of the competition and do not cheat.</p>

Evaluation Criteria

<p>1 - np.sqrt(np.square(np.log10(y_pred +1) - np.log10(y_true +1)).mean())</p>

Quick Summary

Predicting House Prices In Bengaluru is a beginner level hackathon currently expired. It has 3532 participants. Prizes include: Knowledge. The event runs from 2018-03-19T00:00:00Z to 2025-11-03T00:00:00Z.Registration is free and open to all skill levels.