We are looking for an experienced iOS developer who can create a mobile app for marketing small local businesses. The app should be user-friendly and have features like location-based browsing, product/service listings, customer reviews, and in-app purchases. The ideal candidate should have a strong understanding of iOS development, UI/UX design, and integrating APIs. Skills required: - iOS app development - Swift programming language - UI/UX design - API integration - Location-based services - In-app purchases This is a medium-sized project that requires attention to detail and the ability to work independently. The developer should be able to complete the project within 1 to 3 months. Expertise Level: Intermediate

Project Description: Seeking a mobile app developer to create an application tailored for managing construction project details using PDF floor plans. This interactive app will enable users to pinpoint locations on floor plans, add photos (from device camera), provide annotations/descriptions, and produce reports from the annotations/descriptions entered. Looking for someone experienced in handling PDF files, image processing, MS Word and/or PDF Outputs. Features: Interactive PDF Floor Plans: Users can click on the floor plan to add pins (or other indicator) at specific locations, with options to label these locations using room numbers and/or names. The numbers and/or names will auto-populate from a compatible PDF if able to be directly read from the PDF as editable suggested entries. These entries (room name, number, etc.) will appear as the location identifier on the report output. Media and Text Integration: The app will prompt users to take a photo (yes/no) and allow text annotations/descriptions to be added that describe issues at the pinned locations. As Issues are developed they will be remembered for suggested population in future App. use. Adding details without a photo is also supported. Decision Publishing Workflow: Each entry will have options for publication (Yes, No, Maybe). Entries marked 'Maybe' will ask for confirmation before inclusion in the report output. Flexible Reporting: The app will offer customizable report outputs in PDF and Word formats, allowing for the inclusion of only selected entry types (Yes, No, Maybe). Report will take 8.5x11 inch standard letter page size format. Heading/Title Entry: The app will include fields for date, project site, company information, including logos, which can be included in reports. Security Feature: An activation code mechanism will be implemented to securely sell and activate the app for end-users. Additional Requirements: Proficiency in Android/iOS development, PDF manipulation libraries, and UI/UX design. A solid understanding of secure programming practices. Ability to integrate purchase/activation codes for monetization. Deliverables: A fully functional mobile app on Android (Tablet) Platform. Tested app- User Acceptance Testing (UAT) Complete source code and build instructions. A backend system for generating and validating activation codes or other monetization system.

We are seeking an experienced and skilled grant writer to assist us in preparing a National Science Foundation (NSF) Small Business Innovation Research (SBIR) Phase II grant proposal. Our company successfully completed a Phase I project focused on developing a Stress Relieving Wearable for Autistic children – a groundbreaking wearable and mobile application designed to help autistic children identify and manage their stress, ultimately leading to increased autonomy, independence, and a higher quality of life. Our Phase I award (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2126364&HistoricalAwards=false) Project Summary: Our Phase I project laid the foundation for a unique wearable device that combines machine learning and wearable technology to proactively detect and predict meltdowns in children with autism. By leveraging physiological data and behavioral states, our technology aims to provide caregivers and therapists with timely alerts to intervene and prevent distressing meltdowns. The Phase I project demonstrated promising results, showing the potential to significantly enhance the lives of children with autism and their families. Responsibilities: Collaborate with our team to gather necessary information and insights from the Phase I project Craft a compelling grant proposal that outlines the scientific and technological innovation behind our Stress Relieving Wearable Clearly articulate the societal impact, commercial potential, and broader significance of our Phase II project Ensure alignment with NSF's mission and guidelines for the SBIR program Highlight the innovative use of machine learning and wearable technology in predicting and preventing meltdowns Emphasize the potential to reduce social stigma, improve mainstreaming, and alleviate financial healthcare burdens Showcase the importance of individualized machine learning for accurate meltdown prediction Collaborate with our technical experts to integrate project milestones, timelines, and budgets Demonstrate a strong understanding of deep technology development and commercialization Qualifications: Proven track record in grant writing, particularly for NSF SBIR or similar programs Demonstrated ability to translate technical concepts into compelling grant proposals Familiarity with autism-related research and technologies is a plus Strong understanding of machine learning, wearable technology, and their applications Excellent written communication skills with attention to detail Ability to collaborate effectively with technical and non-technical team members Knowledge of NSF SBIR program guidelines and requirements