Check Our Awesome Portfolio

MeetMidway was built for a very common real-life problem: people want to meet in person, but finding a location that works for everyone can take too much time and effort. The app solves that by calculating an equidistant point and turning it into practical meeting suggestions based on user interests and travel convenience. Our team developed a cross-platform solution using Swift, Kotlin, Laravel, MySQL, and AWS, along with a responsive web layer and admin tools for managing app content and location-based data. The user journey is intentionally straightforward: choose two locations, pick your preferences, and get a useful list of places that make meeting up easier. The interface was designed to feel clean, fast, and intuitive so users can plan a meetup in seconds, whether it’s for a casual coffee date, a business discussion, or a weekend hangout.

Traditional role‑plays and classroom trainings often struggle to feel realistic, repeatable, and scalable. The AI Conversation Coach app was created to solve that by giving employees a safe space to practice high‑stakes conversations with AI personas that respond dynamically, just like real customers or team members. Users log in through the mobile app or web app, select a scenario (for example, handling objections on a sales call or managing a difficult performance conversation), and then engage in a simulated dialogue with an AI counterpart. The AI adjusts its responses based on what the learner says, creating a natural flow instead of scripted Q&A. On the technology side, our team built Flutter apps for Android and iOS, backed by Node.js/Express APIs and a MySQL database, all deployed on AWS and integrated with a web front end built with HTML5, CSS3, Bootstrap, JavaScript, jQuery, and EJS. This stack supports real‑time chat, scenario configuration, role‑based access, reporting, and scalable AI usage through token‑based limits. The admin panel allows training managers to design their own conversation scenarios, define AI personas, assign modules to user groups, and review performance data, turning the app into a flexible training platform rather than a fixed set of lessons.

Motherhood can feel isolating, especially when you’re navigating pregnancy, newborn life, or toddler chaos without a local “village”. Kinship was created to solve exactly that: connect moms who are experiencing similar joys, challenges, and milestones, and give them a simple space to talk, share, and meet. Inside the app, moms and moms‑to‑be sign up, share a few details about their life stage, and get matched into small local chat groups based on due date or child’s age. These are not massive forums; they’re intimate circles where conversations feel personal and manageable. Our team used Swift for iOS, Jetpack Compose for Android, and Node.js/Express with MongoDB on AWS for the backend, with a responsive web app for broader access. This stack powers matching logic, group chats, notifications, and admin controls, while keeping data secure and performance smooth as Kinship expands to new cities.

In blocks of flats, fire doors are critical for resident safety, but inspections are often scattered across spreadsheets, emails, and paper notes. Fire Risk Tracker was built to bring everything into one system: properties, flats, doors, inspections, findings, and reports. Managing agents upload flat‑specific details for each site, assign those sites to surveyors, and then rely on the mobile app for fieldwork. Surveyors log in, work flat by flat, and record information for every door, including photos and notes. Barcodes or QR tags are applied to doors to make follow‑up visits simple and to keep repeat‑visit history tied to each door. Once an inspection is completed and synced, surveyors and office teams can review the data through an online portal, generate reports, and share results with residents and contractors. Our team implemented this ecosystem using Swift and Kotlin for the mobile apps, PHP/Laravel and MySQL for the backend, and a responsive web app and marketing site hosted on AWS/GoDaddy.

Many important family stories disappear over time. Memories, traditions, achievements, personal experiences, and family history are often scattered across phones, social media platforms, old albums, and documents. Griot was created to bring these pieces together in one meaningful digital space. Users can capture moments as they happen through photos, videos, voice notes, written memories, and important documents. They can organise their stories, decide what remains private, and choose what they want to share with family members, friends, or future generations. The experience was designed to feel personal rather than overwhelming. Instead of encouraging users to post only polished highlights, Griot gives them the freedom to preserve ordinary moments, personal reflections, family milestones, and stories in their own words and voice. We developed the mobile applications using Kotlin for Android and Swift for iOS, supported by an HTML-based website. The platform was designed to make legacy-building simple, accessible, and emotionally meaningful across devices.

Weight management is not a one-time consultation. Patients often need regular check-ins, treatment adjustments, dietary guidance, and motivation to stay consistent. Medrev was created to connect patients with their dedicated doctors and diet support teams so they can receive ongoing care instead of relying only on occasional appointments. The Medrev Doctor App gives healthcare professionals a focused workspace to manage patient interactions, review shared progress data, answer clinical questions, and provide personalised guidance. Doctors can maintain communication with patients, monitor their journey, and support treatment decisions through a connected care model. The app works alongside the wider Medrev healthcare ecosystem, which supports medical assessments, consultations, treatment planning, and ongoing monitoring. The platform is designed around secure communication and professional oversight, helping doctors deliver a more structured and responsive care experience. We developed the mobile applications using Kotlin for Android and Swift for iOS, with React.js supporting the web experience. The interface was designed to keep important patient information, communication, and progress insights easy to access for busy healthcare professionals.

Managing weight and maintaining long-term health often requires more than a single consultation. Patients may need medical assessments, doctor reviews, dietary advice, treatment monitoring, and regular follow-ups. Medrev brings these steps together in one connected care experience. Through the app, patients can create their profile, provide relevant health information, book appointments, consult doctors, and access healthcare-related information. The platform helps patients stay connected with their care team while giving them a clearer understanding of their treatment journey. The app works alongside Medrev’s wider healthcare service, which includes patient assessment, doctor consultation, personalised treatment planning, and ongoing monitoring. Patients can also use the platform to track relevant progress information and share updates with their care team when required. The product was built with Kotlin for Android, Swift for iOS, and React.js for the web experience. The UI/UX focuses on clear navigation and easy-to-follow healthcare workflows, helping patients manage appointments and care without feeling overwhelmed.

Making plans with friends often sounds simple, but conversations can quickly become confusing. People suggest different dates, respond at different times, or leave messages unanswered. Eventually, the plan gets delayed or disappears completely. Planlark was designed to solve this familiar problem by giving users a structured way to move from discussion to decision. Users can create a plan, add the relevant details, invite friends, and receive clear yes-or-no responses. This removes the need to search through long message threads to understand who is interested, who is available, and what needs to happen next. The app was built with Kotlin for Android and Swift for iOS to provide a smooth native mobile experience. A React.js website supports the wider product ecosystem and gives the brand a flexible foundation for future social and planning features. From weekend outings and dinner plans to trips, celebrations, and group activities, Planlark helps people organise shared experiences without unnecessary back-and-forth.

Financial products are often complex, with scattered statements, confusing dashboards, and a lot of jargon that makes decision‑making harder than it should be. Rupeenex set out to change that by offering a clean, web‑based interface where users can view their key financial information, track performance, and access relevant services in a few simple clicks. The public website, built in React.js, introduces the brand, explains the value proposition, and guides visitors into the main platform. Once logged in, users interact with the Rupeenex web app, an SPA (single‑page application) that surfaces account information, analytics, and tools through responsive, card‑based dashboards. A separate React‑powered admin portal lets internal teams manage users, products, configurations, and content without touching code. Behind the scenes, a Node.js + Express backend handles authentication, business logic, and integrations with financial data sources, while PostgreSQL stores user profiles, transaction data, configurations, and reporting information. This stack gives Rupeenex a flexible, API‑driven architecture that can grow as new products or markets are added.

AIServe was created as an early‑stage AI project with a very practical first step: make it effortless for people to order from a local restaurant without dealing with clunky websites or phone calls. The product starts with one partner restaurant and one delivery zone, proving the experience before scaling to more partners and features. In the app, users tap “Get Started” to view the curated menu, pick their items, and move through a streamlined checkout flow powered by secure Stripe integration. Once an order is placed, users can review their order history from inside the app, giving them a simple record of what they’ve ordered and when. Even users outside the current delivery zone can still explore the app and see how AIServe works, building familiarity for future expansion. Under the hood, the system is built in Flutter for a consistent Android and iOS experience, with a Node.js backend managing products, orders, users, and payment flows. The architecture is intentionally lightweight but structured to support the next phase: voice ordering with “Tria” (the AI assistant), scheduled orders, tipping, and multiple restaurants across larger service areas.

Most habit apps are built for adults and feel like personal productivity dashboards. STACKT flips that idea for teens by treating habits like a team sport. Instead of tracking alone, users join or create “squads” with friends, set shared or individual habits, and hold each other accountable through real‑time progress and positive peer pressure. In the app, a teen can create a profile, start a squad, and invite friends to join. Each squad sets habits they want to build, like studying a little every day, practicing a skill, moving more, or getting enough sleep. Members check in on their habits daily, and the app visualises everyone’s streaks and progress in a way that feels more like a social club than a to‑do list. Simple reactions and encouragement features help friends celebrate wins and keep each other on track. Your team implemented STACKT using Flutter and Dart for a consistent experience across Android and iOS, while a Node.js backend handles authentication, squads, habits, streaks, and notifications. The overall design, copy, and flow are tuned to feel teen‑friendly: bright, fun, and low‑pressure, but still structured enough to build real consistency.

In textile and weaving businesses, costing is everything, but it’s often handled through manual formulas in notebooks or spreadsheets. That makes it easy to make mistakes and hard to respond quickly to price changes or new orders. TaanaBaana was created to solve this with a dedicated textile costing app that fits right into the daily workflow of mills and weaving units. Inside the app, users can enter details about warp and weft quality, yarn counts, densities, fabric width, and other key parameters. The app then calculates yarn consumption, weaving cost, fabric cost per unit, and estimated profit for a given order or design. Instead of re‑doing formulas each time, users can run multiple scenarios in seconds and save or export the results as professional‑looking reports. Built with Flutter and Dart, TaanaBaana offers a consistent experience across Android and future iOS deployment. A Node.js backend powers user accounts, saved calculations, and report management, while the admin panel allows the client to configure formulas, update defaults (like overheads or conversion factors), and support users as the product evolves.

Most theatre lovers currently track what they’ve seen using a mix of notes apps, photos, and social posts, none of which are built specifically for live performance. Ode was created to change that: a focused space where users can log each show, reflect on it, and discover more theatre through other people’s experiences. In the app, a user signs in and starts building their personal “theatre record.” They can search for a show, log when and where they saw it, add a rating and review, and tag companies or artists where available. Over time, this forms a diary of performances. Users can create and manage lists, such as favourites, “to‑see” shows, festival picks, or season goals, and browse editor‑curated lists that highlight important or interesting work. A social layer lets members follow other users, artists, and companies so their feed becomes a stream of reviews, logs, and lists from people they care about. On the technical side, Ode is built natively in SwiftUI to feel at home on iOS, with smooth interaction patterns and a modern, Apple‑first design language. A Node.js backend powers authentication, profiles, show metadata, logs, reviews, lists, and feeds. An admin panel allows the Ode team to manage catalogue data, highlight productions, handle reports, and maintain a respectful, spam‑free space.

Northstar Organizing needed more than a simple brochure site, they wanted an online home that reflects who they are: student‑centered, justice‑oriented, and rooted in community. The website had to speak clearly to young people, educators, and supporters while staying easy to maintain as programs, campaigns, and stories evolve. Using React.js on the frontend, your team built a responsive site that highlights key sections like “About”, “Programs”, “Resources”, “Get Involved”, and “Contact”. Visitors can quickly see what Northstar stands for, how it supports youth organizing, and what concrete opportunities exist to join in, whether that means attending trainings, partnering as an educator, or supporting the work financially. The content structure and navigation are designed so both new visitors and returning partners can find what they need in just a few clicks. Because it’s component‑based, the React architecture also makes it easy for the Northstar team to grow the site over time, adding new pages, calls‑to‑action, or campaign sections without redesigning everything from scratch.

Traditional employee training can often feel repetitive, disconnected, and difficult to measure. RightSource was created to make workplace learning more interactive by combining micro-learning with simulation and gamification. The platform allows users to complete short learning activities, apply their knowledge, and manage a virtual company as they progress. Every decision contributes to the development of their virtual business, helping users understand how communication, leadership, planning, and business choices can affect outcomes. For companies, RightSource provides a more engaging way to support employee development. Instead of simply assigning training modules, organisations can encourage employees to participate, learn consistently, and improve their skills through an experience that feels more like a challenge or strategy game. Our team developed the web experience using Next.js, supported by Node.js and Express APIs, MongoDB, and AWS infrastructure. The responsive interface was designed to make the platform accessible across desktop and mobile browsers, while the administration layer gives businesses control over users, learning content, company activities, and platform data.

Where the core AI Job Interview Coach app focuses on accessible practice for everyone, the Pro version was designed for learners who want more intensive training—longer sessions, richer scenarios, and premium AI coaching. In AI Job Interview Coach Pro, users can access expanded question sets, advanced personas, and structured practice paths. Sessions are powered by the AI Coach Pro engine, which simulates realistic hiring managers and responds dynamically to user input, creating a lifelike interview environment. Our team implemented the product using Flutter (Dart) for cross‑platform mobile, Node.js/Express for the API layer, MySQL for data storage, and a responsive web app for browser‑based practice. Subscription and in‑app purchase flows are tied to tokens or coins that learners consume when attending interviews, aligning the business model with actual training usage. The admin panel gives Blue Elephants Solutions full control over pricing, tokens, scenarios, personas, and reporting, enabling them to run different Pro offerings for universities, bootcamps, and corporate clients.