LATEST
Event 25 smartians Redefining Endurance at Dehradun Ultra last Sunday Solutions Explore our smartCare and smartAgentic suites - purpose-built platforms for healthcare and AI-native automation Client Visit We recently hosted a key F&B partner from the UAE at our headoffice for a strategic roadmap and delivery review Event 30 smarTians recently crossed the finish line at the Chandigarh Marathon, championing fitness and team spirit

smartData portfolio projects

AI personalized Yoga App
Project Overview: AI personalized Yoga App

AI-personalized Yoga App aims to develop an MVP of a personalized yoga mobile app that enables consistent, sustainable practice through intelligent real-time customization. The platform adapts sessions based on users’ health metrics, energy levels, schedules, and evolving intentions to deliver dynamic, intention-led practice flows.
From a technology perspective, the project establishes a scalable, AI-driven foundation with modular architecture, enabling future expansion into wearables, studio integrations, and broader wellness applications. The ultimate goal is to improve adherence, strengthen long-term engagement, and build user confidence in maintaining a consistent yoga practice.
This project addresses a clear market gap:
“AI-personalized Yoga App addresses the market gap between generic, one-size-fits-all yoga apps and the need for truly adaptive, personalized practice experiences that help committed practitioners maintain long-term consistency.”

Features:

1. User Authentication & Account Management
• Social login (Google, Apple)
• Secure session and token lifecycle management
• Automatic user profile creation
• Account deactivation and deletion workflows
2. User Profile & Consent Management
• Profile and preference management
• Health, location, and notification consent handling
• Energy state and session context storage
3. Health, Location & Context Integration
• Optional health metrics ingestion
• Location and weather data integration
• Data normalization and validation
4. Wellness Profiling & Goal Management
• Ayurvedic Prakriti profiling
• Body constitution and physical capacity inputs
• Goal taxonomy, prioritization, and persistence
• Energy state selection and validation
5. Practice Duration & Time Allocation
• User-selected practice duration (10–60 minutes)
• Fixed and validated time allocation logic
• Dynamic component-level timing calculation
6. Personalization & AI Coaching Engine
• Centralized personalization context aggregation
• Goal-driven practice emphasis
• Post-session posture feedback
7. Pose Database & Sequence Generation
• Structured pose database and metadata
• Pose filtering, ranking, and sequencing rules
• Safe and goal-aligned sequence composition
8. Fallback & Continuity Handling
• Predefined general practice sequences
• Data availability validation
• No-simulated-data enforcement
10. Engagement Tracking & Analytics
• Session completion and drop-off tracking
• Duration vs engagement analytics
• Energy state vs outcome logging
• User feedback capture
11. Notifications & Reminders
• Push notification integration
• Time-zone aware delivery
• Energy-aware notification logic
• Opt-in / opt-out consent management
12. Admin Control & Configuration
• User listing, search, and account management
• Pose metadata and content versioning
• Personalization rule configuration
• Notification template and audience management
• Engagement dashboards

Cardiology AI SAAS
Project Overview: Cardiology AI SAAS

Cardiologists today face increasing administrative burden due to fragmented clinical data spread across EMRs, imaging systems, scanned PDFs, and external referrals. A single patient visit often requires reviewing dozens of documents, clinic notes, hospital summaries, imaging reports, labs, and medication histories, leading to inefficiencies, burnout, and reduced patient interaction time.
This project addresses a clear market gap: “A cardiology-focused AI assistant that retrieves, summarizes, and documents patient data with high accuracy, explainability, and seamless EMR integration.”

Features:

a)    Automated Chart Review
•    Pull cardiology-relevant data:
o    Notes (clinic, hospital, consults)
o    Labs & vitals
o    Medications & allergies
o    Problems & diagnoses
o    Imaging summaries (Echo, Stress, Cath, MRI)
o    Support structured FHIR data and unstructured PDFs
b)    Cardiology-Focused Summarization
•    Since-last-visit summary
•    Problem-wise longitudinal disease history
•    Highlight new or concerning changes
•    Present all cardiac medications clearly, with history and context
•    Every insight linked back to the source document

c)    AI Scribe & Clinical Note Generation
•    Real-time transcription of doctor–patient conversation
•    Auto-generate HPI, ROS, Assessment & Plan
•    Combine chart review + conversation into a SOAP note
d)    Timeline & One-Glance View
•    Chronological cardiac journey
•    Visit preparation snapshot for clinicians
e)    EMR Integration
•    SMART on FHIR launch within Epic and outpatient EMRs
•    Capability to push finalized notes back into EMR
f)    Subscription management 
•    3 tier subscription plans 
•    Admin ability to manage subscriptions 

Rental Automation & Compliance Intelligence Platform
Project Overview: Rental Automation & Compliance Intelligence Platform

Objective of the Rental Automation Platform was to digitize and automate rent collection, lease management, and jurisdiction-based compliance workflows for landlords and tenants across multiple regions.
Traditional rental operations require manual tracking of payments, late notices, lease terms, and legal compliance — all of which vary by province/state and create operational risk and administrative overhead. The goal was to design a unified SaaS platform that embeds regulatory intelligence, automates rent workflows, and provides an audit-ready system for dispute or legal proceedings.

Platform is designed to:

  • Automate rent collection and payment reconciliation
  • Generate legally compliant notices based on jurisdiction rules
  • Track physical and digital delivery of notices for legal proof
  • Provide AI-driven compliance validation and rule automation
  • Enable secure tenant–landlord communication and audit trails
  • Deliver real-time dashboards for payments, leases, and compliance
  • Maintain immutable logs for dispute resolution and hearings

The solution transforms rental operations into a compliant, data-driven, and highly automated ecosystem for both landlords and tenants.

Features:

  • Architected full multi-role SaaS platform for landlords, tenants, and administrators
  • Designed compliance-first system architecture with jurisdiction-based rules engine
  • Implemented automated rent collection workflows with Stripe and ACH integrations
  • Developed lease lifecycle management with document storage and e-signature placeholders
  • Built AI-assisted compliance engine mapping province/state regulations to workflows
  • Automated generation of legal notices (late rent, eviction, rent increase)
  • Integrated Lob and Canada Post APIs for registered mail and delivery tracking
  • Designed immutable audit trail for all payments, notices, and communications
  • Implemented in-app messaging with real-time notifications and alert triggers
  • Created role-based dashboards for tenants, landlords, and admin users
  • Built analytics and reporting modules for rent collection and compliance metrics
  • Established staging, production deployment, and CI/CD workflows
  • Delivered documentation, API mapping, and handover for production launch
BQP RM FG Demand Forecasting and Planning
Project Overview: BQP RM FG Demand Forecasting and Planning

To design and implement an integrated, automated planning and forecasting platform that enhances forecast accuracy, eliminates manual and siloed processes, provides real-time visibility into key business metrics, and enables seamless collaboration across planning, sales, and supply chain teams—empowering the organization to respond pro-actively to market changes and make informed, data-driven decisions across short- and long-term planning cycles.

Features:

  • AI-Based Forecasting Engine: Leverages machine learning models to generate accurate short-term and long-term forecasts for Finished Goods and Raw Materials (RMs) based on historical data, trends, seasonality, and demand signals.
  • Integrated Planning Framework: Provides a unified planning experience focused on Finished Goods demand forecasting and Raw Material forecasting for the Procurement team. The platform aligns demand forecasts with RM requirements derived from Bill of Materials (BOM), without covering inventory optimization or end-to-end supply chain execution.
  • Process Automation & Workflow Orchestration: Automates data ingestion, forecast generation, review cycles, approvals, and planning workflows, reducing manual effort and operational errors.
  • Interactive Analytics & Dashboards: Offers dynamic dashboards and visualizations for:
    • Finished Goods forecasting insights by Location, Channel, and Category
    • Forecast accuracy and demand trends
    • Raw Material forecasting and requirements based on BOM-level consumption
  • Scenario Planning & What-If Analysis: Enables users to simulate multiple demand scenarios, assess the impact on Finished Goods and Raw Material requirements, and proactively plan mitigation strategies.
  • Collaboration & Consensus Forecasting: Supports cross-functional collaboration by allowing planners and procurement teams to review, adjust, and approve forecasts within a shared, controlled workspace.
  • Market Change Detection & Alerts: Detects demand anomalies and market shifts in near real time and notifies stakeholders to enable faster response and informed decision-making.
  • Auditability & Data Governance: Ensures full transparency through version control, change tracking, and approval logs across all forecast revisions and planning cycles.
  • Scalable Architecture: Designed to scale efficiently across multiple locations, channels, product categories, and procurement workflows with minimal incremental cost.
Scalable Construction Supply ERP with AI Automation and Financial Integration
Project Overview: Scalable Construction Supply ERP with AI Automation and Financial Integration

The objective of this project was to transform a fast-growing construction materials supplier into a fully integrated, AI-enabled digital operations platform.

The client was managing bulk orders, warehouse coordination, supplier procurement, and accounting across disconnected systems. This resulted in delayed responses, manual reconciliation, limited stock visibility, and heavy dependency on staff for routine customer queries.

Our goal was to build a unified ERP ecosystem using ZohoOne, fully integrated with MYOB for financial control, while embedding AI Agents to automate customer communication and operational support.

The AI Agents were designed to:

  • Instantly respond to customer queries related to order status, invoices, and delivery timelines
  • Reduce dependency on manual call handling
  • Provide 24/7 support without increasing headcount
  • Assist internal teams with quick data lookup and order insights
  • Improve response time and customer satisfaction

This solution was not only about automation - it was about creating an intelligent operational backbone that improves efficiency, reduces overhead, strengthens financial accuracy, and supports scalable growth.

Features:

  • End-to-end ERP covering quotation, order processing, dispatch, and invoicing
  • Centralised order management for bulk, site-based, and repeat customers
  • Real-time inventory tracking across warehouse and yard locations
  • Automated purchase order creation linked to stock thresholds
  • Dispatch planning and delivery coordination
  • MYOB integration for automated invoice sync, payment reconciliation, and financial reporting
  • AI Customer Support Agent for instant order status, invoice lookup, and delivery queries
  • AI-driven internal assistant for staff to retrieve order and stock insights quickly
  • Automated alerts for low stock, pending payments, and delayed dispatch
  • Role-based access control across sales, warehouse, and accounts teams
  • Business intelligence dashboard showing revenue, margins, and outstanding receivables
  • Audit trail and transaction tracking for financial accuracy
HSE compliance management system
Project Overview: HSE compliance management system

A cloud-based SaaS platform that helps organizations in high-risk industries—particularly Oil & Gas Mining and Marine—achieve and maintain compliance with Australian HSE regulations. The system will provide a configurable, real-time solution for managing workplace health, safety, environmental, and quality (HSEQ) requirements, reducing risks and improving operational efficiency.

By offering a scalable, subscription-based model, the platform enable businesses to monitor compliance, track incidents, and generate actionable insights through an intuitive web interface. The goal is to minimize workplace hazards, ensure regulatory adherence, and foster a proactive safety culture while keeping costs manageable for organizations of all sizes.

Features:

  • Onboard companies with region-specific legal compliance based on business type (Oil & Gas/Mining).
  • Flexible plans (monthly/quarterly/yearly) via Stripe, with storage-based scaling and free tiers.
  • Customizable permissions for Super Admin and Company Admins to manage users and roles.
  • Law/activity/region-linked checklists with configurable questions (Excel import/export).
  • Predefined incident types (safety/environmental/damage) with site assignment and supervisor escalation.
  • Automated action triggers for non-compliance, with evidence uploads and accountability tracking.
  • Template-based audits with scoring, attachments, and auto-generated non-conformance actions.
  • Hazard logging, supervisor-assigned corrective actions, and transfer to formal incidents if unresolved.
  • Job-description-linked certifications, expiry alerts, and auto-disqualification for lapsed credentials.
  • Drag-and-drop tiles for incidents, audits, actions, and training compliance with analytics.
Logistics MVP
Project Overview: Logistics MVP

Develop a secure and scalable freight exchange platform that connects shippers and carriers through a digital marketplace. The platform enables shippers to post loads and conduct reverse auctions, while carriers manage transport capacity and submit bids. The objective is to streamline freight procurement, improve price transparency, optimize capacity utilization, and provide seamless interaction across web and mobile platforms with strong analytics, subscription management, and administrative control.

Features:

  • User Authentication & Registration (JWT, RBAC, optional 2FA)
  • Role-based Profiles for Shippers, Carriers, and Admins
  • Shipper & Carrier Dashboards
  • Load Posting with Reverse Auction Mechanism
  • Real-time Bid Management & Auction Monitoring
  • Freight Exchange & Capacity Listings
  • Subscription & Commission-based Monetization
  • Real-time Notifications (Push, Email, In-App)
  • Reporting & Analytics for all user roles
  • Admin Control Panel (User, Auction, Financial & System Management)
  • RESTful API & WebSocket-based Real-Time Updates
  • Multilingual Support (English, French, Swahili)
SaaS-based AI Building Regulation Assistant
Project Overview: SaaS-based AI Building Regulation Assistant

This project delivers a SaaS-based AI Building Regulation Assistant designed for Swiss architects, enabling fast compliance lookup through RAG (Retrieval-Augmented Generation) powered by OpenRouter. The platform is built using Next.js, Supabase (PostgreSQL + pgvector) and integrates OCR via Python FastAPI on Railway. 
It allows users to query building regulations across cantons/municipalities and receive answers with highlighted source text, citations, and traceable evidence. 
The goal is to evolve the system to a beta-ready version with improved accuracy, document handling, multi-canton support and analytics visibility, ultimately replacing slow manual compliance checks with a scalable AI workflow. 

Features:

  • RAG-based compliance lookup using Supabase embeddings with OpenRouter. 
  • PDF Upload + OCR Pipeline via FastAPI (Railway) for scanned document conversion. 
  • Regulation segmentation by Canton + Municipality with global Swiss-wide rules always included. 
  • Automated Golden-Set Generation (5–10 Q&A pairs/doc) for continuous accuracy monitoring using RAGAS. 
  • Source-linked responses with in-PDF text highlighting to ensure transparency and legal trust. 
  • Workspace Model with document access control, global uploads, project-based regulation selection. 
  • LemonSqueezy subscription billing + role management for multi-user environments. 
  • PostHog analytics for usage metrics, behaviour tracking & session replay. 
  • Planned beta release with activity log + feedback dashboard + performance evaluation. 
AI Deal Follow-Up & Pricing Automation System (SaaS / Internal Automation Platform)
Project Overview: AI Deal Follow-Up & Pricing Automation System (SaaS / Internal Automation Platform)

The objective of the UglyTruck AI Deal Automation Platform was to streamline and scale the truck buying and resale process by introducing an AI powered automation layer over existing QuickBase workflows.
The platform was designed to:

  • Automatically identify unsold truck opportunities from historical deal data
  • Re engage sellers via email and SMS without manual follow ups
  • Interpret seller responses using NLP to assess availability, intent, and image quality
  • Provide AI assisted pricing recommendations using proprietary ScrapGo Index data
  • Generate marketing assets and facilitate buyer bidding workflows
  • Reduce deal cycle time while keeping human control over negotiations

The solution enables semi automated deal execution with strong human in the loop governance, improving efficiency without compromising pricing or compliance.

Features:

  • Designed end to end AI automation architecture layered on top of QuickBase CRM
  • Integrated QuickBase APIs for bidirectional sync of truck records, deal stages, and seller responses
  • Defined automated deal pipeline stages for unsold truck identification and reactivation
  • Built multi channel outreach automation using Mailchimp (email) and Twilio (SMS)
  • Designed NLP based response classification for seller intent, availability, and follow up needs
  • Implemented AI logic to assess seller submitted image quality and completeness
  • Integrated proprietary ScrapGo Index via QuickBase for real time pricing benchmarks
  • Designed AI assisted pricing recommendation workflows with human approval checkpoints
  • Automated generation of marketing sheets and bid requests using document templates
  • Enabled buyer engagement workflows including bid collection and counter offer tracking
  • Implemented automated deal status updates and closure tracking inside QuickBase
  • Defined analytics dashboards for pipeline visibility, engagement metrics, and pricing accuracy
  • Planned optional AI voice calling agent for seller re engagement with supervised execution
AI Betting Prediction Platform - Data & ML Operations
Project Overview: AI Betting Prediction Platform - Data & ML Operations

The objective of the AI Betting Prediction App is to build a scalable, subscription-based SaaS platform that delivers accurate, data-driven soccer betting predictions using machine learning models.
The platform is designed to support:

  • Automated daily predictions
  • Advanced ML model building for power users
  • Clear analytics for non-technical bettors
  • Subscription-based monetization
  • Long-term scalability beyond MVP

The system enables both ready-to-use predictions and custom model experimentation, ensuring value for casual users as well as advanced bettors seeking data-backed strategies.

Features:

  • Defined end-to-end product architecture for a subscription-based AI betting platform.
  • Assessed the existing Streamlit prototype and aligned it with a scalable SaaS roadmap.
  • Designed tier-based feature access across Free, $10, and $50 subscription plans.
  • Led requirements for ML-driven prediction workflows including training, testing, backtesting, and forward testing.
  • Structured automated data ingestion pipelines using third-party football statistics APIs.
  • Defined automation logic for daily predictions and scheduled model retraining jobs.
  • Oversaw integration of Firebase Authentication and Stripe subscription management.
  • Designed role-based access control across Streamlit ML components and React dashboards.
  • Planned admin-level controls for managing predefined models, users, subscriptions, and system logs.
  • Defined analytics metrics including EV, win rate, ROI, risk analysis, and performance trends.
  • Coordinated cloud deployment strategy with Dockerized services and monitoring tools.
AI Powered Invoice Generation Platform
Project Overview: AI Powered Invoice Generation Platform

InvoiceEasy is an AI-powered invoicing platform designed for freelancers and small businesses seeking a simple, reliable way to manage billing and financial records. The platform enables users to create, manage, and track invoices seamlessly across web and mobile devices.
InvoiceEasy stands out by reducing manual effort and complexity in invoicing through smart automation and AI-assisted support, helping users save time, minimize errors, and maintain a smooth billing workflow without needing accounting expertise.

Features:

Wearable app
Project Overview: Wearable app

A child-focused health and safety wearable ecosystem designed for families, combining a smart wearable device with a companion mobile application. The platform enables parents to monitor essential health vitals and receive timely alerts while preserving children’s privacy through role-based access and features like Ghost Mode

Features:

  • Secure Authentication: Email and social login with protected user sessions
  • Family & Role Management: Owner, Admin, Member, Dependent and Viewer roles with consent-based access
  • Wearable Device Pairing: Reliable BLE auto-pairing with manual fallback and retry logic
  • Vitals Monitoring: Continuous tracking of heart rate, SpO2, temperature, stress and HRV
  • Health Scoring: Sleep, activity, stress and overall health scores for easy understanding
  • Smart Alerts: Real-time health alerts delivered via push notifications
  • Offline Support: Local data storage with automatic sync on reconnection
  • Multi-Language Support: Arabic & English with full RTL support
  • Privacy Controls: Role-based access and teen privacy features like Ghost Mode
AI Fitness Mobile Application
Project Overview: AI Fitness Mobile Application

The AI Fitness Mobile Application is an AI-powered fitness coaching platform designed to help users improve their fitness, performance, and overall health through personalized training and nutrition programs. Acting as an intelligent virtual coach, the system adapts workouts and guidance based on individual goals, fitness level, lifestyle and continuous user feedback.

The application combines running and walking plans, strength training, flexibility & mobility routines and nutrition planning into a single unified experience. Through a detailed onboarding process, the AI generates customized programs that evolve over time, ensuring progressive development while minimizing injury risk. 

The platform includes a unified training calendar, progress tracking, workout logging, and an interactive chatbot that communicates in an encouraging, science-based and goal-focused manner without providing medical advice.

Delivered as a cross-platform mobile app (iOS & Android), the solution supports a free trial model followed by subscription-based access, along with an admin dashboard for monitoring users, engagement and subscriptions.

Features:

  • AI Coach & Chatbot: Provides personalized coaching by generating training and nutrition plans, answering fitness-related questions, and adjusting programs based on user feedback and progress.
  • Personalized Training Plans: Automatically creates customized running/walking, strength, and flexibility & mobility programs based on user goals, fitness level, injuries and availability.
  • AI Nutrition Planning: Generates structured daily nutrition plans aligned with training intensity, including meals, snacks, and pre- and post-workout guidance.
  • Unified Training Calendar: Displays all workouts and nutrition tasks in a single daily view, helping users clearly understand what to do each day.
  • Workout Logging & Feedback: Allows users to log completed workouts and provide feedback, enabling the AI coach to adjust upcoming sessions intelligently.
  • Progress Tracking & Insights: Tracks training consistency, completed sessions, and overall progress through a simple, visual dashboard.
  • User Profile & Preferences: Stores body metrics, training history, injuries, goals, availability and personalization settings to support accurate plan generation.
  • Goal Evaluation & Plan Adjustments: Enables users to request changes to their programs and receive AI-driven adjustments, including feedback on goal feasibility.
  • Subscription & Settings Control: Manages free trial access, monthly or annual subscriptions, payment status, and general app settings from a single interface.
Open Dental & Billing Platform
Project Overview: Open Dental & Billing Platform

In this Project we use the Open Dental API to pull and display appointments in existing C# web application as well as syncing patient demographics and insurance payer information into Open Dental using its FHIR APIs helping eliminate the need for manual data entry by billing staff.

Features:

• Insurance Breakdown PDF Generate billing breakdown PDF in One Dental Billing (exist-ing flow)
Implement push PDF into Open Dental (via REST/FHIR endpoint)
DocumentReference or custom API push

• Appointment & Scheduling API connection (Open Dental < - > Billing App)
Initial sync of appointments, Real-time polling / interval sync
Error handling & retry and Hard refresh button to pull latest patient/appointment data

• Appointment & Verification Appointment listing from Open Dental REST/FHIR API
Polling configurable (15/30/60 mins)
Use modifiedDate / eligibility check to avoid duplicate fetch
Pull patient demographics and Insurance plan data (Primary, Secondary, Tertiary)
Export appointment notes section also

• Verification UI & Workflow Build appointment listing/dashboard
Display patient name, DOB, subscriber ID, provider, insurance carrier, notes, import timestamp
Filters: unverified, verified < 30 days, needs verification, date ranges
Verify action - > opens Insurance Breakdown form (40+ fields)
No Duplicate Entry Rule: System must check if appointment for the same patient already exists within last 30 days → if yes, block duplicate import.
Push verified file & insurance breakdown back into Open Dental (Insurance section)

MedSpa Telehealth and Wellness Platform
Project Overview: MedSpa Telehealth and Wellness Platform

The platform is a HIPAA-compliant, AI-enabled MedSpa Telehealth and Wellness Management System designed to digitize and streamline Good-Faith Exams (GFE), telehealth consultations, weight-loss programs, and wellness workflows.
It enables patients, providers, MedSpa partners, and administrators to operate within a single secure digital ecosystem—covering appointment scheduling, virtual visits, documentation, lab and prescription workflows, and partner coordination.
The system is architected to initially support the client’s own clinics and evolve into a subscription-based SaaS platform that can be white-labeled and offered to other MedSpa and wellness businesses.

Features:

  • Unified Patient Portal (Web & Mobile)
  • Secure Video & Chat-Based Telehealth Consultations
  • Good-Faith Exam Workflow Automation
  • AI-Powered Clinical Scribe (SOAP & GFE Notes)
  • Dynamic Consents & Visit-Specific Questionnaires
  • Provider Scheduling & Encounter Management
  • E-Prescription & Lab Order Management
  • MedSpa Partner Portal & Exam Requests
  • Role-Based Access Control (RBAC)
  • Secure Document Storage & Signed PDF Generation
  • Appointment Reminders & Notifications
  • Reporting, Audit Logs & Compliance Tracking
  • SaaS-Ready Multi-Tenant Architecture
Pharmacy Benefit Analytics Platform
Project Overview: Pharmacy Benefit Analytics Platform

The Pharmacy Benefit Analytics Platform is a secure, cloud-hosted solution designed to modernize legacy PBM systems by automating claim processing, enhancing data transparency, and enabling real-time analytics.
It empowers payors, TPAs, and pharmacy networks to reduce billing errors, ensure compliance, and make data-driven decisions — all from a unified, HIPAA-compliant environment.

Features:

  • Claims & Eligibility Data Ingestion – Automated daily import and validation of paid, reversed, and rejected claims.
  • Contract Scorecards – Instant performance dashboards for clients and contracts with claim-level drill-down and exportable audit packs.
  • Repricing Workbench – Run alternate price list scenarios (AWP, WAC, NADAC, MAC) and generate dispute packs.
  • Billing & Finance Automation – Streamlined invoicing, reconciliation, and ledger tie-back.
  • Clinical Workflows – Prior authorization management, clinical uploads, and drug assistance tracking.
  • Customer Service Module – Call tracking, member timelines, and ticket management integrated with eligibility and Medi-Span.
  • Forecasting & NDC Savings Tracker – Predictive analytics to identify utilization patterns and cost-saving opportunities.
Home Healthcare EVV and Revenue Automation Platform
Project Overview: Home Healthcare EVV and Revenue Automation Platform

This solution delivers an?all-in-one SaaS platform?enabling Minnesota home healthcare agencies to manage?client care, EVV compliance, caregiver compensation, and Medicaid claim submission?from a single multi-tenant system. 

The MVP integrates: 

  • EHR Lite?for clients and caregivers 

  • Scheduling & Authorization management 

  • EVV tracking with HHAeXchange sync 

  • Billing & RCM via Waystar 

  • AI-assisted data validation?to prevent claim denials 

The system enables agencies to reduce operational cost, eliminate manual file handoffs, and ensure seamless compliance with?Minnesota DHS 245D requirements.

Features:

  • Client, caregiver, authorizations & care-plan management 
  • EVV verification with GPS + visit audit trail 
  • Compensation summary from approved EVV logs 
  • Automated 837P claim file creation + ERA ingestion 
  • Manual eligibility verification fields for MN Medicaid (MN-ITS ready) 
  • Alerts for missing visit notes, incorrect codes, or validation errors 
  • Multi-agency tenant-level branding & configuration 
  • Azure-based secured deployment with RBAC + 2FA access 
RUKU Application
Project Overview: RUKU Application

RUKU is a prayer-focused productivity application designed to help users stay mindful and distraction-free during Salah. The system automatically detects daily prayer times, activates app blocking during those periods, and ensures users remain focused by freezing selected distracting apps using Apple’s ScreenTime & DeviceActivity frameworks. The experience is supported by reminder notifications, a 7-day streak system, and a clean, minimal UI inspired by Islamic design principles. With user profiles, customizable settings, and secure subscription integration, RUKU provides a seamless and compliant solution that encourages consistency in prayer while respecting Apple’s privacy and platform guidelines.

Features:

1.    Salah Time Alerts: Automatic prayer time detection with timely reminders.
2.    App Blocking During Salah: Freeze selected distracting apps during prayer windows using Apple’s ScreenTime framework.
3.    Salah Completion & Streaks: Simple prayer check-in with a 7-day streak tracker for motivation.
4.    User Profile & Preferences: Basic profile setup with customizable Salah timings and blocking settings.
5.    Settings Control: Manage blocked apps, notifications, and personalization options.

Cloud Workshop Management System
Project Overview: Cloud Workshop Management System

A web and mobile-based solution designed to modernize workshop and fleet operations, replacing a legacy desktop system. The platform streamlines fleet (trucks/trailers) management, inspections, inventory, job allocation, and reporting. Mobile apps for technicians and inspectors ensure field readiness, while integration with Verizon Connect (mileage tracking), odometer data, and XERO (accounting) supports real-time, accurate, and compliant operations.
The solution improves transparency in maintenance workflows, accountability in technician performance, and accuracy in financial reporting, while providing a scalable base for multi-workshop rollout.

Features:

Fleet & Asset Management
•    Truck/trailer master records with full service & inspection history.
•    Asset grouping for reporting and analysis.
Work Order Management
•    Preventive & manual work orders (mileage/time-based).
•    Status workflows (Assigned, In-progress, Paused, Completed).
•    Drag-and-drop supervisor job allocation across shifts.
•    Multi-mechanic jobs with group leader logs.
Inspection Management
•    Scheduled inspections (weekly/monthly/fortnightly).
•    Inspector mobile app with digital checklists, job/part request raising.
•    Kiosk-compatible web app for workshop floors.
Technician Workflow
•    Technician mobile app: job cards, checklists, clock-in/out, media uploads.
•    Pause/resume jobs, post-dated individual hour tracking.
•    QR-based parts scanning.
Parts & Inventory Management
•    Catalog of ~14,000+ parts with tiered categorization.
•    Bundled parts/package creation.
•    QR-based real-time inventory sync.
•    Damaged/replaced part logs, requisition approvals.
Store & Operations
•    Stocktake, goods receipt, issue/return slips.
•    PO and invoice matching (supplier-side only).
Billing & Invoicing
•    Job estimates and invoicing synced with XERO.
•    Labour/part cost breakdown, compliant tax calculations.
Reports & Dashboards
•    Supervisor dashboards with shift insights.
•    Drill-down reporting: asset, department, technician, part type, cost.
Admin & Configuration
•    Role-based access and permissions.
•    Master control panel and audit logs.

HIPAA Compliant Diagnostic Test Platform
Project Overview: HIPAA Compliant Diagnostic Test Platform

The platform is a HIPAA-compliant, AI-driven diagnostic test management system designed to digitize and streamline the end-to-end lifecycle of diagnostic reports—starting with Pulmonary Function Tests (PFTs). It enables testing clinicians, physicians, and administrators to seamlessly upload, interpret, review, and sign diagnostic reports within a single secure environment.
The system aims to reduce physician workload through AI-generated interpretations, while preserving clinical authority, regulatory compliance, and full traceability. It incorporates state-based physician licensing controls to ensure that reports are routed only to authorized physicians as mapped by administrators.

Features:

  • AI Diagnostic Report Management
  • PFT Interpretation & Reporting
  • Clinical Metadata & Value Parsing Module
  • Physician Review & Edit Workspace
  • Secure Electronic Signature & Report Finalization
  • State-Based Physician Licensing & Assignment Control
  • Real-Time Report Status Tracking Dashboard
  • Administrator Management & User Access Control
  • Audit Trail & Compliance Logging System
  • Structured PDF Generation with Embedded Signature
  • Clinician Workflow Automation for Report Handling
  • Report Download & Storage Management