Whole-Home Intelligent Control: Unified management of lighting, security, home appliances, and environmental systems. Scene Automation: Trigger smart scenes based on user habits or environmental conditions (time, temperature, lighting, etc.). Energy Optimization: Real-time energy consumption monitoring with energy-saving suggestions to reduce electricity costs. Security & Protection: Integrated access control, surveillance, smoke alarms, for proactive early warning and emergency response.

We are seeking freelance MCU development engineers with the following qualifications: Proficient with mainstream MCUs based on ARM Cortex‑M0 and M4 cores. Experience in driving RGB dot-matrix / LED display screens; familiar with driver ICs including FM, SM, ICND series. Able to independently implement high refresh rate, grayscale control, ghost elimination, and display optimization for LED panels. Skilled in peripherals such as timers, DMA, and SPI; clean coding standards and strong debugging/troubleshooting skills.

We require the development of a lightweight AI-powered device and software system designed to assist veterinarians during patient consultations. The system will utilize voice input to automatically recognize speech and generate standardized medical documentation, specifically the Chief Complaint and Physical Examination sections, according to clinical norms. Key Performance Indicators (KPIs) Efficiency: Increase consultation efficiency by ≥40% (Target: Complete consultation documentation in ≤15 minutes). Standardization: Achieve ≥95% standardization rate in documentation based on pre-defined medical templates. Technical Requirements Deployment: Operate as a standalone system (no integration with existing HIS/PMS systems required). Data Security: Support offline voice recognition and local data storage to ensure data security and regulatory compliance. Compatibility: Compatible with mainstream domestic operating systems and hardware terminals. Network Resilience: Function effectively in low-bandwidth or unstable network environments (suitable for grassroots clinics). Extensibility: Provide API interfaces to allow for future system integration. Additional Information Documentation: Requirement documents are available. Timeline: ASAP. Budget: To be discussed with the technical team.

We are a company specializing in TikTok traffic advertising for automotive window tinting shops. We require the development of a client information distribution and feedback system to manage the following workflow: Headquarters imports leads from TikTok ad campaigns → System distributes leads to assigned stores → Store staff view and contact customers → Stores register follow-up results → Headquarters views aggregated data and store performance. Core Functional Requirements 1. Headquarters Admin Panel (Web-based Management System) Lead Import & Distribution: Support bulk import of leads generated from TikTok ad campaigns (Fields: Name, Phone, Vehicle Model, Intended Store, Lead Timestamp, etc.). Ability to assign leads to specific stores. Store Management: Add/edit store accounts. Configure store permissions and data access scope. Follow-up Monitoring: View follow-up progress, logs, and customer statuses (e.g., Contacted/Not Contacted/Deal/Wrong Number/No Interest) across all stores. Data Export: Export lead details and follow-up logs to Excel/CSV filtered by store, date, or status. Data Dashboard: Statistics including total leads, store processing rates, and deal conversion rates. 2. Store Terminal (Frontend Application) Recommended Format: WeChat Mini Program (for easy adoption) or H5 Web App. Client List: View leads distributed by headquarters. Follow-up Registration: Record details of the call (Time, Notes, Customer Intent, Deal Status). Status Update: Update lead status (Pending/Contacted/Deal/No Interest). History Log: View historical follow-up records for closed/won clients. Simple Statistics (Optional): View store-specific metrics (e.g., Follow-up rate, Number of deals). System Specifications Platforms: Headquarters: PC Web Backend. Stores: Mobile Application (Preferably WeChat Mini Program). Permission Levels: Headquarters has access to all data. Stores can only access data assigned to their specific location. Data Security: Customer information must be encrypted to prevent leaks. Deliverables Complete source code (Backend + Frontend). Deployment guide and API documentation. Admin user manual. Cooperation Requirements Proven experience in developing CRM, customer management, or store management systems. Portfolios are required. Understanding of data permission hierarchies and settlement/accounting logic.

We are seeking to develop a series of H5 casual games designed to run on desktop browsers. The core requirement is that all games must interact with our backend system. The game logic, progression, and character behaviors (e.g., a race car's speed) will be driven and controlled by data from our system, rather than by local player input alone. These are single-player experiences driven by external data. Product Specifications Game Format Platform: H5 games running in desktop browsers. Compatibility: Must support mainstream browsers (Chrome, Edge, etc.) without plugins. Gameplay: Single-player only; no multiplayer or networking features required between users. Integration: The game must interface with our backend system to receive real-time data that dictates game behavior. Data Interaction Logic Real-time Control: The game must expose APIs to receive real-time data from our system. Example Scenario: In a racing game, our system sends a "speed" value, and the in-game car's velocity changes accordingly. General Logic: System data will control: Game Progression: Level advancement, score. Sprite Behavior: Movement, jumping, dashing, and other actions. Technical Protocol: The communication method (WebSocket, HTTP Polling, PostMessage, etc.) is open for discussion. Game Genre Examples (Specific titles to be discussed, but concepts include) Racing: Car speed controlled by the external system. Endless Runner/Platformer: Obstacle spawn rate and character speed controlled by the system. Shooter: Bullet speed and enemy spawn timing controlled by the system. Other: Highly playable, lightweight H5 games suitable for the platform. Technical Requirements Game Engine: Use mainstream H5 frameworks such as Phaser, Cocos, Egret, or PixiJS. Performance: Games must be lightweight, run smoothly, and have fast loading times. Documentation: Provide clear API documentation to facilitate system integration.

Here is the translation of your requirements, tailored for a professional and international context: Project: Hotel Room Security Inspection App (Anti-Spying & Hidden Camera Detection) Project Overview We plan to develop a mobile application designed to help users detect hidden cameras and eavesdropping devices when staying in hotels. This is a fully custom development project aimed at creating a professional, feature-rich, and user-friendly application. Core Feature Requirements 1. Hidden Camera Detection Optical Detection: Utilize the smartphone's camera and flash to scan suspicious areas (e.g., smoke detectors, power outlets, decorations) to identify hidden lenses by detecting lens reflections. Infrared (IR) Detection: Use the smartphone's IR capabilities or prompt the user with auxiliary tools to detect cameras equipped with night vision. Wi-Fi Camera Scanning: Scan for suspicious devices connected to the same network to identify potential IP cameras (requires network permissions). Magnetic Field Detection: Utilize the smartphone's magnetometer to detect metal components often found in camera lenses. 2. Eavesdropping Device Detection RF Signal Detection: Use the smartphone's RF sensors (or support external peripherals) to detect suspicious radio frequency signals. Audio Environment Analysis: Analyze ambient sound for unusual frequencies or echoes that may indicate the presence of a listening device. Magnetic Interference Detection: Identify anomalies in the magnetic field that could be caused by active eavesdropping equipment. 3. Reporting & Alerts Visualized Results: Display results clearly, marking suspicious areas and assigning risk levels. Detection History: Save records of past scans and generate historical reports. Safety Guidelines: Provide visual guides highlighting common hiding spots and checklists for入住 safety. 4. User Experience Intuitive UI: A clean, simple interface with clear guidance through the detection process. Offline Functionality: Support offline use for core features without requiring an internet connection. Multilingual Support: Optional support for multiple languages. Technical Requirements Platforms: Native development for both iOS and Android. Hardware Integration: Must interface with various smartphone sensors (Camera, Magnetometer, Wi-Fi module). Data Privacy: Strict privacy protocols; under no circumstances should user detection data be uploaded to external servers.