"Save Now, Buy Later" (SNBL) is a financial solution designed to help users build savings while earning rewards. The platform allows users to set up flexible savings plans through scheduled installments, lump-sum deposits, or round-up savings. In return, users receive cashback rewards, which are added to their savings and can be used toward future purchases.
For businesses, SNBL functions as a customer acquisition and retention tool. It integrates with existing sales channels to offer a predictable revenue stream and encourages brand loyalty. With plugins for WooCommerce and Zid, users can create branded wallets and deposit funds directly with participating merchants.

AI-powered, cross-platform comprehensive mental wellness platform bridging the gap between personal reflection and professional guidance.

The platform combines traditional journaling with modern tools like AI visuals, music integration, and multimedia uploads, while also enabling secure collaboration with therapists. The app capture inner experiences, give them visual and emotional context, and create a safe space for therapist feedback and peer support — ultimately redefining digital mental health care

The primary objective of this project is to design and implement an event-driven backend system that automates the generation, validation, and delivery of healthcare-related EDI (Electronic Data Interchange) files, such as 834 (Eligibility and Enrollment), 837 (Claims), and 835 (Remittance Advice). These files are essential for secure, standardized, and compliant data exchange between healthcare providers, payers, and regulatory partners.

This system aims to:

• Ensure compliance with HIPAA and EDI X12 standards through rigorous validation (via Cotiviti).
• Enable seamless integration with external vendors like Avesis, Nations Benefits, and Reveleer through SFTP-based delivery mechanisms.
• Maintain operational transparency and traceability using real-time monitoring and logging via SigNoz.
• Support future scalability and workflow orchestration through modular design and integration with AWS services like SQS and Step Functions.