AI-Powered Full-Stack Real Estate Portal with Price Prediction and Recommendations
PinsoutFull-Stack Web DevelopmentProject Objectives:
Create a full-stack real estate app that predicts property prices using AI and recommends listings based on user preferences and location trends.
Project Tasks:
Design front-end for property search, filters, and listings.
Develop back-end databases for properties, users, transactions, and history.
Implement secure login and profile management.
Preprocess property and transaction data for AI modeling.
Apply ML regression algorithms for price prediction and recommendation.
Build dashboards for market trends and user engagement analytics.
Implement notifications for new listings and price alerts.
Conduct testing for AI accuracy, performance, and usability.
Document full-stack architecture and AI workflow.
Educational Qualifications
B.TechB.EBCAMCA
Required Skills
Full-Stack Web Development (Frontend: React/Angular/Vue; Backend: Node.Js, Django, Or Flask)Machine Learning & Predictive Modeling (Price Prediction, Recommendation Systems)Database Design & Management (Sql/Nosql For Properties, Users, And Transactions)Api Development & Secure AuthenticationDashboard & Analytics Visualization For Market Trends
