I am writing a project proposal for seed funding for an engineering project. The project proposal should include the part Project Summary, Introduction, Goal and Objectives, Current Situation, Product Overview, Technical Description, Benefits, Project Team, Schedule, Budget, Conclusion and References. This proposal should be written for non-expert target funders. Specifically, I am writing the Project Team part. My project is named “Waveguard”.

A good Benefits part should include:
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Name and role
Authentic background (use parallel structure)
Authentic skills (use parallel structure)
Responsibilities in this project (with reference to key points/ technologies mentioned in Technical Details (a section of features and function))
How skills and experience contribute to the success of the project
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The expectations for an excellent project proposal as specified are multifaceted, covering content, organization, language, and professionalism. When it comes to content, the proposal should not only meet but also convincingly fulfill all task requirements. It must provide a comprehensive exploration of the project topic, ensuring that there is no irrelevant information included. It is imperative that the arguments deployed in support of the proposed idea are both logical and critical, persuasively justifying the proposal and outlining its potential for positive social impact.

In terms of organization, the proposal is expected to bear an effective and logical structure. This includes establishing highly logical connections between ideas, both within and across paragraphs, to facilitate a seamless reading experience. Moreover, a variety of methods and transitional devices should be adeptly employed to ensure the successful linkage of ideas throughout the proposal.

Language use is of paramount importance, and here the proposal must demonstrate highly accurate, concise, and consistent language. Explanations should be clear and detailed enough to be easily grasped by non-specialists, thus underpinning the feasibility, features, and functions of the project. The style and formality of the written language must align with the expectations of the funder, striking an appropriate balance between professionalism and accessibility.

Professionalism is further underscored by the credibility of the project team, whose profiles should be authentic, relevant, and professional. From a visual standpoint, the proposal should feature an attractive and professional layout, utilizing effective formatting choices in terms of fonts, spacing, color, graphics, and other design elements to enhance its professional appeal.

Lastly, attention to detail is crucial when it comes to citations and references. The proposal must include highly accurate and well-integrated in-text citations, along with a highly accurate reference list, demonstrating meticulous adherence to scholarly conventions and enhancing the credibility of the proposal.

My Introduction, Goal and Objectives, Technical Description and Benefits part :
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Introduction
The ageing demographic in Hong Kong poses unique challenges as the number of individuals over 65 has surpassed 1.45 million in 2021 [1]. This shift raises safety concerns, particularly the risk of falls, which, as reported by the Department of Health’s Unintentional Injury Survey 2018, represent a significant 39.4% of unintentional injuries among the elderly [2]. Often living alone, these individuals are vulnerable to accidents that can remain unnoticed for extended periods, emphasizing the need for prompt detection. Furthermore, roughly 70% of this elderly cohort battles chronic diseases like diabetes and hypertension [3], necessitating constant health monitoring.

Given these facts, the consequences are severe: increased duration of hospital stays, a decline in quality of life, and greater economic pressure on families and the healthcare system. Therefore, timely intervention is critical in elderly care to maintain our commitment to both compassion and life preservation. Waveguard detects motions and vital signs such as respiration and heart rate without compromising privacy or accuracy. Coupled with a communication system to alert medical personnel or family members in emergencies, Waveguard seeks to reduce the time it takes for solitary elderly individuals to receive medical attention after an incident, therefore mitigating the severity of injuries from falls and expediting the response to critical health events.

Goal
To improve the quality of life and physical health of elderly individuals living alone by providing assistance in dealing with daily risks through the support of “Waveguard,” an advanced detection system designed for safety and protection.

Objectives
Users will be able to
•	monitor the motions and different vital signs of them/ their elderly family who live alone remotely through the real-time millimeter wave (mmWave) based system and artificial intelligence (AI) algorithms
•	gain timely medical support by notifying the medical personnel/their family through the wireless communication speaker system

Technical Description

Millimeter Wave Sensing Technology
Waveguard utilizes state-of-the-art millimeter-wave (mmWave) sensing to monitor the well-being of the elderly, particularly in scenarios where they are living alone. The mmWave Frequency-Modulated Continuous-Wave (FMCW) radar functions by emitting a high-frequency wave that is capable of detecting minute movements [4]. Upon hitting a target, such as a person, the wave is scattered back to the system’s receiving antennas, capturing critical data which is then transformed into point clouds and Doppler velocity information. This wave efficiently works through clothing and does not require direct line-of-sight, making it invariant to light conditions and visual obstructions typical in a home setting without compromising privacy, as it does not produce visual images of the subjects it monitors.

AI-Driven Fall Detection
Central to the ‘Waveguard’ system is its AI and machine learning core, which uses Long Short-Term Memory (LSTM) networks [5]. These are a type of recurrent neural network (RNN) well-suited for sequence prediction problems and are used to interpret the captured mmWave data. This sophisticated AI framework has been trained to reliably differentiate between regular activities such as walking, sitting, or lying down and critical events like falls. Real-time interpretation of these activities is reinforced through continuous monitoring of vital signs, including respiration and heart rate, offering a comprehensive health assessment of elderly individuals.

Real-time Communication and Notification System
Once the onboard processor within the mmWave device detects a fall, it transmits a signal to a dedicated server via existing communication networks like 4G, 5G, or Wi-Fi. The Waveguard server performs several processes, such as logging the incident, identifying the affected individual, and coordinating notification dissemination. Caregivers or family members then receive an alert through a specially designed mobile application. Furthermore, in critical conditions where emergency services are needed, Waveguard includes a wireless communication-linked speaker system, facilitating direct contact with medical personnel or relatives. This ensures not only timely medical intervention but also constant reassurance for the elderly and their families that help is always at hand.

Mobile Application
The Waveguard system is complemented by an intuitive mobile application that serves as the interface between the monitoring technology and the caregiver or family member. Users receive push notifications about falls or vital sign anomalies through this app and can acknowledge incidents by indicating that they have ‘taken care’ of the situation. The app features a user-friendly dashboard that enables family members or caregivers to monitor vitals and motion in real time, maintain logs of incidents, and receive alerts.

Energy Considerations
To ensure that Waveguard remains an effective tool for continuous monitoring, it will be meticulously engineered to maximize energy efficiency. The IWRL6432 mmWave sensor embodies the essence of energy efficiency with its sophisticated low-power 45nm RFCMOS process engineered to deliver high performance while minimizing power consumption [6], thereby ensuring prolonged operational periods without compromising system responsiveness. Furthermore, potential future developments may introduce energy-harvesting capabilities, such as capturing energy from ambient light or heat differentials, to extend battery life. These measures will ensure that Waveguard can provide 24/7 monitoring without the need for frequent maintenance or disruptions—key to the system’s reliable use in real-world scenarios.

Benefits

Enhanced Safety and Quick Response
Waveguard offers a paramount leap in safety for elderly individuals living alone. With its ability to discern between everyday activities and emergency situations, such as falls, Waveguard promptly alerts caregivers and medical personnel, ensuring rapid response. This instantaneous communication minimizes health degradation from delayed assistance, sharply reducing the risk of long-term complications and hastening recovery efforts. The system’s AI-driven detection delivers peace of mind to families, knowing their loved ones are under constant, vigilant monitoring without personal privacy invasion.

Improved Health Monitoring and Support
The comprehensive monitoring capabilities of Waveguard provide a significant advantage in managing the health of the elderly. By continuously tracking vital signs and movements, Waveguard enables the early detection of potential health issues, allowing for proactive care. This vigilant monitoring leads to better management of chronic conditions and supports well-being, ultimately contributing to prolonged independent living and improving the quality of life for seniors. Moreover, the user-friendly mobile application keeps families informed, fostering a supportive environment for the elderly to thrive.

Cost-Effective and Efficient Care
Implementing Waveguard significantly curtails healthcare costs associated with accidents and chronic condition management by cutting down hospital stays and reducing the need for emergency interventions. Its energy-efficient design ensures that the system operates optimally over extended periods with minimal maintenance, extending its service life and reducing waste. Furthermore, the minimalistic hardware requirements and non-intrusive setup translate to lower initial investment and installation costs, making Waveguard an economically viable solution for individual families and medical institutions alike.

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My Project Team part paragraph:
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Sherman Hon, Research Engineer 
Sherman Hon possesses a sharp analytical mindset and is an expert in electronic engineering, contributing significantly to the foundation of Waveguard’s technology. His responsibilities include conducting in-depth research and development of the mmWave and AI systems, which are essential for precise motion and vital sign detection. Utilizing his extensive background in signal processing and machine learning, Sherman is tasked with designing and fine-tuning the algorithms that enable non-intrusive monitoring and detection capabilities as outlined in the Technical Description. He is dedicated to enhancing the AI-driven fall detection’s sensitivity and specificity, ensuring robust system performance across various conditions. Sherman’s research and development are vital to the enhanced safety and rapid response advantages emphasized earlier, making Waveguard a dependable protector for the elderly.

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But this paragraph lack of telling skills and experience with respect to the responsibilities and key techs of the product. Add these to my paragraph. Let me give you some points:
"-Authentic background (use parallel structure): 1 year experience of being ai researcher in the hk AI lab, developed novel machine learning model
-Authentic skills (use parallel structure): research, modelling, implement model, advanced mathematics and algorithm knowledge" Use the above information; if there is extra information needed, please let me know.