Project Tani is a groundbreaking wellness education platform designed to foster holistic well-being by integrating gamified challenges that focus on the Mind, Body, and Soul. The platform aspires to make personal growth engaging, accessible, and rewarding by combining modern technology with age-old wellness practices. This initiative targets individuals seeking balance and self-improvement, offering a unique mix of personalization, community engagement, and goal-driven activities.

Key Objectives:

1. Empowering Holistic Wellness: Tani seeks to inspire users to develop a balanced lifestyle through structured activities addressing mental, physical, and spiritual health.
2. Engagement through Gamification: The platform employs game-like features such as challenges, level progression, and rewards to make the journey enjoyable and motivating.
3. Community Building: The app fosters a supportive environment where users can share achievements, motivate each other, and build meaningful connections.
4. Personalized Experience: By analyzing user behaviors and preferences, Tani delivers tailored recommendations, ensuring each individual’s unique needs are met.
5. Simplified Access to Tools: Centralized features like journaling, timers, and tracking tools make the app an all-in-one solution for users’ wellness activities.

The project works as a universal password authenticator which simplifies user login and aims to integrate with banking and healthcare apps. The MVP is focusing on non-critical apps like grocery applications or video streaming applications, with potential expansion into high-risk sectors.

This project is a Web-based E-Prescribing & Document Processing Platform designed for healthcare providers and organizations to manage electronic prescriptions, sales orders, and documentation efficiently. The platform integrates with Brightree via API for seamless data synchronization, ensuring automated handling of product catalogs, patient records, and order tracking. A robust AI-powered document ingestion system processes medical faxes, extracts key details using OCR, and categorizes them for compliance checks. The system enhances efficiency through automated validation, real-time chat support, and AI-driven data extraction while ensuring secure handling of sensitive medical data.