Check Our Awesome Portfolio

While the Fete Finder User app focuses on helping attendees discover and book the best carnival events worldwide, Fete Finder Organizer was designed specifically for the people behind the scenes, the promoters, planners, and production teams who bring those experiences to life. The client wanted a tool that understands the unique rhythm of the carnival and party scene: fast‑moving, multi‑city, and heavily dependent on timing, updates, and ticket performance. We worked closely with them to translate that reality into clear screens, workflows, and dashboards. On the technology side, we built native apps in Swift and Kotlin, powered by a PHP/Laravel backend, MySQL database, and AWS infrastructure, with responsive web interfaces using HTML5, CSS3, Bootstrap, JavaScript, and jQuery. This stack allows organizers to manage events from any device, while API services keep everything in sync with the public Fete Finder User experience. From first event creation to live ticket scanning at the gate, every flow was designed to feel familiar to promoters who might be moving between laptop, phone, and on‑site staff in the middle of a busy event schedule.

Stork was created by parents who understood how stressful it can be to juggle school drop‑offs, practice runs, and changing schedules while still wanting to protect their children at every step. The product needed to feel like a trusted partner, simple enough for busy parents, but robust enough to handle real‑world transportation challenges. We worked closely with the client team to capture that vision in a unified platform: a Flutter app for iOS and Android, Node.js/Express APIs, a MongoDB‑powered data layer, and a web‑based admin panel for operations and support. The parent app focuses on booking and tracking rides, while the driver experience and admin tools handle route management, safety protocols, and customer support. Features like background‑checked drivers, live GPS tracking, OTP‑verified pickups, and detailed driver profiles are woven into the core flows so parents don’t have to compromise between convenience and safety. On the design side, we created a warm, reassuring visual language, clean layouts, friendly iconography, and clear status indicators, to make the app approachable while still communicating seriousness around safety and reliability.

Stork Driver was created to support a very sensitive transportation model: moving children safely and reliably, while making the driver experience smooth enough to work in real-world conditions. The app needed to be simple for drivers to use, but powerful enough to handle route updates, ride status changes, communication, and safety checks without confusion. Our team designed and developed a Flutter-based driver app backed by Node.js/Express APIs, MongoDB, AWS infrastructure, and an admin panel for operational oversight. The result is a platform where drivers can manage incoming requests, track trip details, and follow structured ride workflows that keep the experience consistent from pickup to drop-off. The interface was built with clarity in mind: clean screens, straightforward actions, visible trip states, and minimal friction during active rides. Since drivers often operate on the move, we focused on fast interactions and dependable performance so they can concentrate on the child’s safety and the quality of service.

The idea behind Home Cooked Self Picked was simple: make home-style meals easier to find for customers and easier to sell for local chefs. Instead of relying only on traditional restaurants or food delivery platforms, the app gives users a direct way to explore nearby homemade food options and pick them up when convenient. We built the solution as a mobile-first marketplace with Flutter, Laravel backend services, MySQL database support, and AWS hosting to keep the experience stable and scalable. The admin panel helps manage users, listings, orders, and platform activity, while the app itself focuses on clean browsing, easy ordering, and a friendly food discovery experience.

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.

Celleey’s founders wanted more than a standard electronics store—they envisioned a platform where users not only find great deals on devices, but also earn cash back and enjoy a simple keep‑or‑return flow that removes the usual risk from online tech purchases. Our team translated that idea into a complete digital product: a cross‑platform Flutter app for iOS and Android, Node.js/Express APIs, a MongoDB database, and an admin panel that gives the Celleey team full control over products, rewards, orders, and user support. Core shopping journeys were designed around the “Shop, Earn & Pay” model—browse electronics, apply coupons, earn cashback credits, and manage claims and refunds—all wrapped in a clean, modern UI that feels like a premium tech retail experience. We also focused on customer trust by making policies such as the Keep or Return window, cashback rules, and refund steps clear in the app, so users always know what will happen after they place an order.

Choosing a college and preparing for entrance exams can feel overwhelming—multiple websites, different deadlines, and scattered study resources. Unichoice was designed to cut through this confusion and act as a digital mentor for students and parents. Inside the app, students can browse and compare colleges, apply directly, join live exam coaching sessions, and access curated notes, PDFs, and preparation materials for key entrance exams. Real‑time updates keep them informed about admission news, application dates, and result‑based eligibility. From a product standpoint, our team delivered a cross‑platform Flutter app, Node.js/Express APIs, a MongoDB backend, and web‑based admin tools. These pieces work together to support features like college matching based on marks, personalized course suggestions, and content management for live classes and study resources. The UI/UX was crafted to feel supportive and distraction‑free, with clear flows for college search, exam prep, and notifications, so students can focus on their goals rather than fighting with the interface.

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.

Starting the day with the right mindset can influence how people approach their responsibilities, relationships, and personal goals. Thought Rise was created for users who want to combine their faith with personal development through a simple daily audio experience. During onboarding, users can enter their name, define a personal “God-sized dream,” and choose scripture-based affirmations that reflect their current stage of life. The app then uses these preferences to create a more personal devotional experience, including audio messages that speak directly to the user by name. Our team developed the mobile applications using Swift for iOS and Kotlin with Jetpack Compose for Android. The Laravel and PHP backend supports user profiles, personalized content, audio feeds, subscriptions, and content management, while the admin panel gives the client control over devotional content, affirmations, users, and app activity.

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.

In a city like Mumbai, great discounts are everywhere, on shop boards, WhatsApp statuses, and random social pages, but most shoppers never see them in time. SeekSagar set out to solve this by becoming a local “deal radar” for the neighbourhood. Using the app, users create a simple profile, allow location access, and immediately see live offers from nearby stores and vendors. Deals are organised by category (clothing, electronics, groceries, salons, games, medicine, and more), so people can quickly scan what’s relevant and decide where to go. For this first phase, SeekSagar is focused on Android users in Mumbai’s Western suburbs, with future plans to add delivery‑based listings, deal alerts, business dashboards, reviews, and price comparisons. Our team implemented the Android app in Kotlin, backed by Node.js/Express APIs, MongoDB, and an admin panel hosted on AWS/GoDaddy, so the product is ready to scale to new areas and features.

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.

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.

Selling or buying used electronics often feels risky, uncertain device condition, confusing prices, and no clear process. Harage set out to fix that for the Qatar market by building a professional, app‑based platform that handles the heavy lifting: quality checks, pricing, logistics, and trust. From the customer side, the app is straightforward. Sellers can submit details about their device in just a few steps, receive a fair market evaluation, and schedule pickup or drop‑off anywhere in Qatar. Once Harage completes inspection and verification, the device enters the marketplace as a certified listing. Buyers, on the other hand, can browse a curated catalog of used smartphones, laptops, tablets, and other electronics, each with clear grading, real product photos, and transparent pricing. Because Harage oversees inspection, grading, packaging, and delivery, buyers know exactly what they’re getting, and sellers don’t need to worry about negotiations or logistics. Under the hood, the customer apps are built natively in Kotlin (Android) and Swift (iOS). A Node.js backend with MongoDB powers product listings, evaluations, orders, and user accounts, while an HTML/CSS/jQuery/Bootstrap‑based admin panel gives the Harage team full control over inventory, pricing rules, order flows, and customer support.