Srilekha Khan

• Project Name: GI Traceability (banglagi.com)
• Client:SAMETI,West Bengal Government
• Description:GI Traceability is a digital platform hosted at banglagi.com that ensures end-to-end traceability for Geographical Indication (GI) products. The project focuses on preserving the authenticity, origin, and quality of GI-tagged crops and products by tracking every stage of their journey—from cultivation, processing, and packaging, to distribution, and delivery to the end consumer.

The platform enables:

• Farmer registration and verification
• Crop and seed tracking
• Real-time data collection from field to market
• Role-based access for stakeholders (farmers, FPOs, traders, millers, inspectors, etc.).
• Transparent product history for consumers and certification bodies

Objective:
To build trust in GI products by enhancing transparency and combating counterfeit goods through robust digital traceability.

• Project Title: 1-Click Mortgage.
• Client:Banks, departmental users, and loan applicants.
• Overview:1-Click Mortgage is a digital platform that facilitates quick and secure mortgage loan approvals by integrating property verification, user authentication, and inter-departmental checks into one streamlined process.
• Workflow Summary:
• Key Features:
• Role-based access for banks, departmental officers, and applicants
• IGR and Khatian integration for property record lookup
• Government utility data verification (e.g., WBPDCL)
• End-to-end digital processing of mortgage applications
• Audit logs and secure document management
• Objective:

To minimize fraud, accelerate loan disbursal, and bring transparency to mortgage processing by leveraging integrated property verification and inter-departmental data.

• Developed robust full-stack application for agricultural management using Ruby on Rails and SQL databases.
• Crafted user-friendly frontend interface with HTML, CSS, JavaScript, and Bootstrap.
• Streamlined crop monitoring through real-time weather analysis via API integrations.
• Delivered market insights to support data-driven decision-making for farmers and agribusinesses.
• Emphasized software engineering principles including modular design, scalability, and maintainability.
• Addressed unique challenges within agriculture sector through innovative solutions.