🏢 Client: Vastukala Consultants (I) Pvt. Ltd.

Industry: Real Estate Valuation, Banking, Plant & Machinery Appraisal

Platform: Web ERP + AI/ML-Powered Valuation Engine

Technology Stack: React.js, Node.js, MongoDB, Python, OpenAI, LLaMA, REST APIs, LangChain, ChromaDB

🔍 About the Client:

Vastukala is a leading 3rd-party property valuation and plant & machinery assessment company, servicing top banks, NBFCs, and investment firms across India. Their core business involves producing legally compliant, high-quality valuation reports for assets — including residential/commercial real estate and industrial machinery — for the purpose of mortgage lending, asset management, and legal verification.

With a growing demand and the need for speed, accuracy, and data-driven insights, Vastukala wanted to digitize and scale its operations while leveraging AI/ML for automating property intelligence and investor queries.

🛠️ Technozions’ Solution: A Complete Digital Ecosystem

We developed a custom ERP platform using React.js and Node.js tailored to Vastukala’s complex workflow involving site inspection, report generation, client communication, team collaboration, and document submission.

We further integrated a cutting-edge AI/ML module using Python and open-source LLMs (LLaMA) to intelligently process and respond to investor-style queries, bridging the gap between property transaction data and natural language search.

🚀 Key Features Developed:

Custom ERP Functionalities

• Request logging from banks & clients

• Assignment workflows for field valuers

• Upload of photos, field visit notes, and legal documents

• Automated report generation with editable templates

• Bank-specific report formats and regulatory compliance checks

• Status tracking, dashboard KPIs & SLA monitoring

• Payment & invoice management

• Role-based access for Admin, Valuers, Auditors, and Bank Officers

🤖 AI & ML Integration

• AI-powered property search assistant using LLaMA-based LLM

• Prompt engineering & vector database (ChromaDB) integration via LangChain

• Matching user queries like “3BHK spacious flat in Andheri under ₹2 Cr” to actual property transactions over ₹1 Cr

• NLP-based extraction of property types, location tags, budget range, and room configuration

• Automatic fetching of best-fit data from real transaction records

• Support for refining queries and generating summaries for clients/investors

📊 Business Value Delivered:

• ✅ 60% faster report generation via template-based automation

• ✅ Real-time field valuer coordination, reducing bottlenecks and delays

• ✅ Scalable ERP backbone, future-ready for new modules and use cases

• ✅ AI-assisted property intelligence, giving the client a first-mover advantage in investor-facing services

• ✅ Robust data logging and compliance, aligned with banking standards

• ✅ Increased visibility with smart dashboards and audit trails

💡 Why This Project Stands Out:

This project uniquely blends enterprise-grade ERP architecture with natural language AI capabilities. Vastukala not only improved their internal operations but also introduced investor-friendly AI tools that allowed users to interact with the system the way they speak — making data querying more intuitive and insightful.

By leveraging open-source LLMs (like LLaMA), Python ML libraries, and custom database embeddings, Technozions helped Vastukala build a competitive edge in a traditionally offline and document-heavy industry.