Paylaşıldı16 dakika önce

我准备上线一款以足球为主题的竞猜平台，希望整体视觉保持传统、正式的风格——类似经典体育报刊的配色与排版，而不是现代极简或花哨多彩的方向。平台将以网页端为核心，并同步推出移动端 App（iOS / Android），保证两端数据完全互通。 核心功能 • 比赛预测：用户可在每场比赛开赛前提交胜平负等结果，系统自动关盘并计算得分。 • 实时比分：与第三方足球数据 API 对接，秒级刷新，比赛进程与统计同步展示。 • 用户排行榜：按周、月、赛季多维度排行，支持积分、胜率等多种排序逻辑。 我需要的不仅是代码，还包括整体方案：UI/UX 原型、前后端开发、API 集成、后台管理，以及上线后的基础运维支持。请在提案中附上过往做过的类似体育竞猜或实时数据类项目链接 / 截图，并给出分阶段报价与预计工期（如设计、开发、测试与上线各阶段需要多久）。 若您能说明将使用的主要技术栈（例如 React / Vue、Node.js / Laravel、Flutter / React Native 等）以及如何保证实时数据稳定性和安全性，会大大增加合作机会。期待看到富有说服力的案例并收到您的详细报价。

Paylaşıldı31 dakika önce

I want to turn a standard RC chassis into a smart, self-aware toy that can do far more than just follow joystick commands. The end goal is a prototype car that: • Detects obstacles in real time • Plans an optimal path around them • Switches between full autonomous driving and classic “manual” mode on demand Everything should be directed from a single mobile app that works seamlessly on both iOS and Android. From that app I need to: 1. Watch a live video feed (low-latency) 2. Toggle between autonomous and manual modes 3. See a simple map of the car’s planned path and any detected hazards 4. Push OTA firmware updates when new AI models are trained Hardware is already on hand (Raspberry Pi 4, camera module, ultrasonic sensors, ESC, and an ESP-based controller), so focus your bid on the software stack and integration. I’m comfortable if you choose TensorFlow Lite, PyTorch Mobile, or another lightweight framework—just explain why it’s the right fit. Acceptance criteria • Car navigates a 5 × 5 m obstacle course without human input, logging a collision-free run at least 3 out of 3 times. • Manual mode latency from phone command to car response <150 ms on local Wi-Fi. • App is published to TestFlight and Google Play Internal Testing with clear build instructions. • All code, trained models, and wiring diagrams are delivered in a Git repo with a concise README. If parts of the solution are modular (e.g., separate microservice for path planning), note that—I’m open to future upgrades. Let me know your approach, timeline, and any special sensors or libraries you’d recommend.

Paylaşıldı53 dakika önce

I need a turnkey Bluetooth Low Energy control system that lets my staff manage indoor electric drift bikes from an Android tablet. When a rider is ready, the attendant should be able to start or stop a bike over BLE with a single tap; if the link is lost or the preset ride time expires, the bike must shut itself down automatically via an onboard, hard-wired fail-safe timer that works even when the tablet or radio link is unavailable. A physical emergency-stop button on each bike must always override everything. Security is critical: only authorised tablets may connect, commands must be encrypted, and the bikes must default to a powerless, safe state on any fault. The system will run completely offline inside a shopping mall, so no cloud services are allowed. I operate between 11 and 20 bikes at the same time and need reliable coexistence in a noisy RF environment. Each bike should log ride start/stop times locally and export that data to the tablet for daily reports so I can track usage patterns and detect any unauthorised activity. Deliverables • Embedded firmware for the bike-side BLE module with secure pairing, local timer logic, shutdown routines, and activity logging • Android tablet app with a simple dashboard to select a bike, issue start/stop, display live status, download logs, and store them in CSV or SQLite for later analysis • Wiring diagram and BOM for integrating the BLE module, power relay, and hardware E-stop into the existing bike electronics • Test procedure that demonstrates safe-state behaviour on link loss, timer expiry, power failure, and emergency-stop activation • Source code, build instructions, and brief documentation so my technical staff can maintain the system in the future Acceptance will be based on: 1. Proven operation with at least 15 bikes running concurrently in an offline environment 2. Successful shutdown within the preset time even when the tablet is turned off mid-ride 3. Complete, tamper-proof ride logs exported to the tablet without data loss 4. Immediate motor cut-off when the hardware E-stop is pressed If you have solid experience with BLE device firmware, secure Android app development, and fail-safe design for mobility or amusement applications, your expertise will be invaluable on this project.

Paylaşıldı1 saat önce

I am moving “Naufumi” from prototype to production and need the entire stack rebuilt from scratch in Flutter with Firebase on the back end. The goal is a clean, scalable codebase that can support Android, iOS, a responsive web app, and a browser-based super-admin panel within 30 days. Scope and requirements • UI: I’m fine with moderate customization—clean, modern layouts built on proven component libraries are preferred over pixel-perfect bespoke screens. • Authentication: phone-number login secured with a standard OTP flow. • Core marketplace: the Stores section (browsing, cart, checkout, order tracking) comes first in priority, followed by Jobs, Services and Rentals, so architect the data models with that hierarchy in mind. • Maps: integrate Google Maps Places, Directions and Geocoding but debounce requests to one per second to keep the quota under control. Deliverables (all source code, Git history kept intact) 1. Customer mobile app – Android APK + iOS build ready for TestFlight 2. Responsive web version of the customer front end 3. Web-based super-admin panel for product, order and user management Acceptance criteria • Builds must pass Google Play and App Store review requirements. • All CRUD operations function online/offline with Firebase sync once connectivity returns. • Map queries respect the 1-second debounce limit (log this in the console for verification). • Codebase organised by clean architecture principles; key modules documented. If this fits your expertise and you can meet the 30-day deadline, the repository is ready to be shared so you can begin immediately after kickoff.

Paylaşıldı2 saat önce

I want a complete, production-ready mobile application that runs smoothly on both iOS and Android. The core idea is a multi-resort booking platform wrapped inside a binary MLM structure: every user can reserve rooms across several partner resorts while simultaneously building a two-leg network that earns commissions from each down-line booking. Key elements to build • Resort booking engine – real-time room availability, multi-resort catalog, date/guest selectors, pricing rules and in-app payments. • Multiple bookings per user – one account may hold overlapping or future reservations, each editable or cancellable under policy constraints. • Binary MLM logic – automatic left/right placement, level-based commission calculations, secure wallet, payout requests and an admin override. • Data processing & signal analysis – crunch booking data to flag peak periods, forecast occupancy and surface insights in the admin dashboard. Development expectations – Native-feel cross-platform codebase (Flutter, React Native or similar) compiled for the App Store and Google Play. – Scalable backend (Node.js, Laravel or equivalent) with REST/GraphQL APIs, role-based access, encrypted data and automated unit/integration tests. – Push notifications, email receipts, referral links, QR check-ins, multi-currency support and a web admin panel. – Clean, well-commented source code, schema and API documentation, plus a short hand-over workshop once the build is accepted. Acceptance criteria 1. The iOS and Android builds pass store review on first submission. 2. A new user can register, book a room, refer two friends and see earned commissions reflected instantly. 3. Admin can view the full network tree, adjust resort inventory and export financial reports without database edits. 4. All personal and payment data meet standard security best practices and local compliance. If you have deep experience in mobile fintech, travel or MLM logic, let’s get this coded and live.

Paylaşıldı2 saat önce

I run a small matrimonial service with roughly 1,000 active profiles and I’m ready to move the entire experience to a dedicated Android app. The overall aesthetic must stay simple and clean—no flashy graphics, just an intuitive layout that keeps the focus on the profiles. Core flow • New users register through phone-number verification only (OTP). I do not want email, social or any other sign-up method. • After login, users can browse or search the profile database. Search should let them refine results by Education, Age, Income, Region and Caste. These filters need to be fast and can be combined in any order. • Each profile will show photo gallery, personal details and a “request contact” button that triggers an in-app notification or SMS alert to the other party. • I’ll be managing about 1,000 records at launch, so a lightweight back-end (Firebase, Supabase or anything equally straightforward) is acceptable as long as it keeps data secure and scalable. What I need from you 1. Fully functional Android app (APK + source) built with Kotlin or Flutter, following Material guidelines for that clean look. 2. Simple admin console or script so I can bulk-upload, edit and deactivate profiles without touching code. 3. Basic analytics hook (Firebase or similar) so I can track active users and search behaviour. 4. Short hand-over document plus a hand-off call to walk me through deployment to Google Play. Acceptance criteria • OTP login works end-to-end on actual devices. • Every filter returns accurate results within two seconds on a 4G connection. • No crash or major UI glitch after a minimum 100-profile scroll test. • Code is neatly commented and builds without errors in Android Studio. If you have apps in the Play Store that use similar filtering or OTP flows, share the links so I can get a feel for your style. Looking forward to a smooth collaboration on this.