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
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
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:
The solution transforms rental operations into a compliant, data-driven, and highly automated ecosystem for both landlords and tenants.
Features:
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:
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:
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:
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:
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:
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:
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:
The solution enables semi automated deal execution with strong human in the loop governance, improving efficiency without compromising pricing or compliance.
Features:
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:
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:
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:
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:
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:
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)
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:
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:
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:
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.
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.
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: