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Product Specification — “WildGuard” (iOS & Android) 0. We start with iOS app and once working option to develop android. Written partially with a llm so some errors may be present in the requirements. 1. Overview & Goals WildGuard is a cross-platform mobile application designed to: • Snap or upload a photo to identify an animal or insect, showing model confidence. • Indicate if it is dangerous, and in what way (venomous, disease vector, aggressive, invasive, property damage, allergy risk, etc.). • Verify the sighting’s location using GPS (Mapbox) and EXIF metadata. • Provide professional, region-specific advice to reduce risk and limit spread, with clear safety and legal disclaimers. • Contact sponsors (pest control, wildlife officers, municipalities) via call/SMS/email. • Report rubbish to the responsible authority via prefilled email (with photo, coordinates, timestamp). • Allow users to create accounts, join leaderboards, and earn recognition for valid reports. • Allow businesses and farmers to monitor areas of interest (AOI) and receive alerts for potentially harmful sightings. • Let businesses send “Thanks” messages to reporters. • Integrate an LLM (e.g., ChatGPT) to: • Explain dangerous species and safe handling in natural language. • Answer follow-up questions from users. • Assist in identifying species when the model confidence is low. • Ensure all source code is included in the delivery, with a clear contractual clause: • All intellectual property belongs to the client. • The code may not be sold, licensed, or shared with any third party without explicit written consent. Primary Users: • General public, hikers, gardeners, municipal staff, property managers. Secondary Users: • Sponsors, pest-control providers, wildlife authorities, businesses, and farmers. ⸻ 2. Platforms & Technology • Mobile: iOS 15+ (Swift/SwiftUI) and Android 9+ (Kotlin/Jetpack Compose) OR cross-platform (Flutter or React Native). • Maps & Geocoding: Mapbox Maps SDK + Mapbox Geocoding (forward/reverse), optional geofencing. • ML Inference: • On-device: Core ML (iOS), TensorFlow Lite/NNAPI (Android). • Cloud fallback: REST API with GPU/CPU autoscaling. • LLM Integration: ChatGPT API (or equivalent) with: • Local caching of Q&A to reduce calls. • Guardrails to prevent unsafe or illegal advice. • Storage: Cloud object storage for images (signed URLs), Postgres DB (sightings, taxonomy, users, AOIs), Redis (cache). • Notifications: FCM (Android), APNs (iOS). • Analytics/Logs: Privacy-compliant telemetry; crash reporting. ⸻ 3. Core Features 3.1 Capture & Upload • Capture via camera or select from gallery. • Parse EXIF for GPS, timestamp, and camera data. • If EXIF GPS exists and user consents → prefill location; else use device GPS; else manual pin via Mapbox. • Clear permission prompts for camera, photos, and location. 3.2 Identification • On-device model runs first; if confidence < threshold or species is out-of-distribution (OOD) → cloud model. • Display: • Common name + scientific name. • Confidence percentage + top 3 predictions. • Short explanation (from model and/or LLM) for why it matches. • Danger badge: Safe / Caution / Dangerous / Invasive. • Danger details: mechanism, severity, first aid, seasonality. • Local status: native, protected, invasive. • Prevention & control advice. 3.3 Location Handling • Auto GPS, manual pin, and address search. • Show accuracy, timestamp, and location source. • Map overlays for: • Sightings heatmap. • Rubbish reports. • Risk zones. • Optional offline tile packs. 3.4 Verification via EXIF • Compare EXIF and device GPS. • Flag mismatches and allow user to choose. 3.5 Professional Advice • Region-specific guidance (via database + LLM refinement). • Containment, legal notes, IPM steps for insects. • Direct “Contact a professional” link. 3.6 Contact Sponsors / Authorities • Call, SMS, or email nearest sponsor or municipal contact. • Prefilled email includes: • Species name, risk, map link, coordinates, timestamp, photo link, user notes. • One-tap emergency call. 3.7 Report Rubbish • Quick-access report flow. • Attach photo, location, category, size, notes. • Send to authority via email. 3.8 Confidence & Explainability • Confidence meter with color thresholds. • LLM explanations for low-confidence identifications. • Suggest actions for improved identification. ⸻ 4. Accounts, Leaderboards & Business Features 4.1 Accounts & Identity • Auth via email/password or Apple/Google sign-in. • Profiles with handle, avatar, badges, privacy settings. • Roles: User, Business, Farmer, Sponsor, Admin. 4.2 Leaderboards & Reputation • Points for verified reports: • Animal/pest: 10 pts (+5 for dangerous/invasive). • Rubbish: 5 pts (+3 if marked resolved). • Quality multipliers for verified GPS, high confidence, or validations. • Anti-cheating measures (pHash, clustering, caps). 4.3 Business & Farmer Accounts • AOI creation (up to N per plan) with geometry drawing or GeoJSON import. • Heatmaps and alerts for dangerous species in AOI. • Data export and daily/weekly digest. • Send “Thanks” messages to reporters. 4.4 Kudos System • Verified orgs can send short text “Thanks” messages. • Reporter notified in-app and via email. • Points awarded for received thanks. ⸻ 5. LLM Integration Details • LLM provides: • Plain-language summaries of identification results. • Clarifications on danger and safe handling. • Suggestions for better image capture for re-identification. • Safety: • Pre-filter all LLM outputs through a safety layer. • Block advice that contradicts legal or medical guidelines. • Offline fallback for basic predefined responses. ⸻ 6. Security, Compliance & Licensing • All data encrypted in transit (TLS) and at rest (AES-256). • GDPR compliance: consent management, opt-out, right-to-be-forgotten. • Role-based data access; location blurring for privacy. • Licensing clause: • All source code, models, training scripts, and assets are delivered to the client. • Ownership remains solely with the client. • Vendor/developers may not sell, license, or share the code or derivatives with any third party without explicit written consent. ⸻ 7. Non-Functional Requirements • Performance: On-device inference p95 < 800ms; cloud inference < 3s. • Reliability: Offline capture + queue for later sync. • Accessibility: WCAG 2.2 AA compliance. • Localization: Multi-language UI & species data. ⸻
Project ID: 39685809
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Hello , Nice to meet you! I will design and develop WILD GUARD mobile application with web admin panel according to your requirement , ping me on chat so we can discuss this more. I am expert and 9 years experienced Android /iPhone app developer with backend work that you are looking for. I will provide you perfect product as you want so you would be happy with it. I am always ready to discuss about your project in detail as well as start from right now. The following are my services that i provide :- 1. Daily or Weekly update. 2. Clean and Robust code. 3. Responsible for communication for more than 15 to 20 hours each day. 4. Free Bug-Fix support for 1 year after completion. 5. Source code delivery. You can have a look at my profile by this link : https://www.freelancer.com/u/shyamvijaywargiy Let's contact me to discuss further details with me. Thanks Shyam
$750 USD in 25 days
8.9
8.9

Hello, I appreciate the opportunity to work on the "WildGuard" project, which sounds like an exciting and impactful mobile application. My understanding is that the app aims to help users identify animals and insects while providing essential information on safety and reporting processes, all powered by an LLM. I'll approach this by first ensuring the iOS version is robust, focusing on features like photo identification, GPS verification, and seamless integration with Mapbox and other technologies while preparing for a future Android rollout. Additionally, I will prioritize user experience by implementing clear navigation for reporting and tracking sightings. Can you clarify any specific user scenarios or flow you have in mind for the initial iOS version? Thanks, Muhammad Awais
$1,500 USD in 11 days
8.8
8.8

Hello, I’m excited to submit my proposal for the WildGuard project. With several years of experience in mobile app development, particularly in Swift and Kotlin, I have a strong foundation in building cross-platform applications that leverage machine learning and geolocation technologies. Recently, I completed a project for a wildlife identification app that incorporated similar features, such as image recognition, GPS integration, and user engagement through leaderboards. This experience has equipped me with the skills to handle the complexities involved in WildGuard. For the technical plan, I propose starting with an iOS app using SwiftUI to ensure a smooth user experience, integrating Mapbox for geolocation and setting up a cloud-based architecture to support ML inference. Once the iOS version is stable, we can transition to Android using Kotlin or explore a cross-platform solution with Flutter. I would love to discuss this project further and explore how I can contribute to making WildGuard a success. Best, Inderdeep
$1,125 USD in 7 days
7.5
7.5

Hi, This is Elias from Miami. I’ve reviewed your WildGuard app specs and see you want a cross-platform mobile app (starting iOS, then Android) with animal/insect photo ID using ML models, GPS/EXIF location verification, professional regional advice, and integrated LLM support for explanations and Q&A. The app also includes user accounts, leaderboards, business AOIs, alerts, and strong security and privacy compliance. I have 10+ years experience building complex, secure mobile apps with on-device ML, cloud fallbacks, real-time syncing, maps (Mapbox), and API integrations. I’m especially interested as I’ve delivered projects combining ML inference with clean UI, multi-role access, and privacy-first design. To clarify and scope your project precisely, a few questions: Q1: Do you have existing Core ML and TensorFlow Lite models for the animal/insect ID, or should I help build/train them? Q2: For the LLM integration, how tightly do you want to control output filtering and guardrails—do you have existing safety layers? Q3: What’s your preferred tech stack for backend services—self-hosted Postgres/Redis or cloud-managed services? Looking forward to hearing from you and diving deeper into this exciting project! Regards, Elias
$1,125 USD in 7 days
6.8
6.8

Hello there Hope you are doing well as you are looking for a "Build a WILDGUARD MOBILE APPLICATION " so will make the same as you want , I have already develop and Design the so many Application , - I will use latest technology to develop your Application - I will share daily update with you - I Will deliver your project within timeline - After project completion will share complete source code - I will provide 1 year support our develop work - I have 10+ year experience in Web & App development - I will make the 100% responsive design , fast loading , SEO friendly and all - I will provide you super admin panel there you can manage the whole thing Please initiate the chat so will discuss together and all Thanks & Regards Dheeraj K.
$750 USD in 7 days
7.0
7.0

As an experienced Flutter and Android developer with more than 8 years in the field, I can offer you a blend of technical expertise and proven project management. Having led a team of 7 developers and delivered over 150 successful projects, I assure you I can handle this diverse, cross-platform WildGuard app with confidence. My exceptional command over various platforms such as Flutter (Dart), Android (Java) and a knack for solving challenging coding issues make me the best fit for your need. A prime quality that sets me apart from others is my penchant for problem-solving. It has pushed me to constantly widen my tech skillset - both in front-end & back-end work (Laravel, PHP, Node.js). Over time, I have honed the discretion to choose the most fitting third-party APIs such as Mapbox Maps SDK, Core ML, TensorFlow Lite/NNAPI、ChatGPT API to meet specific project demands just like yours. Lastly, my approach to work goes beyond mere skill delivery. Believeing in active communication and an overall collaborative process, I ensure team chat every day& document sharing including detai
$1,125 USD in 70 days
6.0
6.0

I am a skilled Mobile App Developer with expertise in iOS Development and Swift programming. I have a strong track record of delivering high-quality and efficient solutions for mobile applications. I am confident in my ability to develop the "WildGuard" cross-platform mobile application as per your detailed specifications. I have experience working with Mapbox SDK, ML inference technologies, cloud storage solutions, and integrating third-party APIs. I am committed to delivering a user-friendly and secure app that meets the needs of both primary and secondary users. Let's discuss further to ensure a successful collaboration on this project.
$1,500 USD in 7 days
5.3
5.3

Hey, i will develop the ios app using swift and swiftui with mapbox sdk for maps, geocoding, and gps handling, integrating core ml for on-device species identification and a cloud fallback via a tensorflow lite model served through a rest api. the llm features will connect to the chatgpt api with local caching and a safety filter for responses. image handling will support exif metadata parsing, gps verification, and cloud storage via signed urls, with postgres for structured data and redis for caching. notifications will use apns, and analytics will collect privacy-compliant telemetry. user accounts will be managed with email/password and apple sign-in, while leaderboards, aois, and business features will be managed in the backend with role-based access control. the app will support offline capture with queued sync, export sightings in svg/pdf/png formats, and encrypt all data with tls and aes-256. Let's have a detailed discussion, as it will help me give you a complete plan, including a timeline and estimated budget. I will share my portfolio in chat I look forward to hear from you. thanks Regards, Ahmad
$1,125 USD in 7 days
4.4
4.4

Hello Anders, I am Vishal Maharaj, a seasoned iOS developer with 20 years of experience in iOS Development, REST API, ChatGPT, Mobile App Development, and Swift. I have carefully reviewed the requirements for the "WildGuard" cross-platform mobile application. To execute this project, I propose to start with the iOS app development, ensuring seamless integration with Mapbox for GPS verification and EXIF metadata handling. The identification feature will utilize on-device and cloud models for accurate species recognition, with detailed danger assessments and prevention advice. The app will also facilitate easy communication with sponsors and authorities, along with a robust user account system and leaderboard functionality. Integration of ChatGPT will enhance user interactions and provide valuable information in natural language. I look forward to discussing this project further with you. Please initiate the chat at your convenience. Cheers, Vishal Maharaj
$1,500 USD in 10 days
3.2
3.2

Hello Anders, I am Roman Golovin, a Mobile App Development expert with over 7 years of experience. I have carefully reviewed the requirements for the "WildGuard" cross-platform mobile application project. To achieve the goals outlined, I plan to utilize my expertise in front-end and back-end technologies such as JavaScript (React, Angular, or Vue.js), Node.js, Python, as well as cloud platforms like AWS, Azure, and databases like PostgreSQL and MongoDB. My focus will be on building scalable, high-performance applications while ensuring security and user-friendliness. I am well-versed in Agile methodologies and DevOps practices, making me adept at handling challenging and impactful projects. I look forward to discussing this project further with you. Regards, Roman Golovin
$1,200 USD in 7 days
3.4
3.4

With me, you can rest easy knowing that your project details will be well-cared for - from fully responsive web design (Mobile & Tablet Friendly) to ensuring the privacy-compliant telemetry; crash reporting requirements are met. Together, let's turn WildGuard into reality! Saad.
$1,999 USD in 45 days
2.2
2.2

Hello Anders S., I have thoroughly reviewed the project requirements for the development of the "WildGuard" cross-platform mobile application. The application aims to provide users with the ability to identify animals or insects, assess their danger level, offer professional advice, and connect with relevant sponsors and authorities. To achieve this, I plan to utilize my expertise in Mobile App Development, specifically in iOS Development and integrating ChatGPT for natural language processing capabilities. I will ensure seamless communication throughout the project to keep you updated on the progress and address any queries promptly. With experience in developing complex mobile applications and integrating advanced technologies like Mapbox, Core ML, and ChatGPT, I am confident in delivering a high-quality and user-friendly solution that meets all the specified requirements. Looking forward to the opportunity to collaborate on this innovative project. Best regards.
$1,100 USD in 7 days
2.9
2.9

Hello Anders, I am Liam, with over 7 years of experience in ChatGPT. I have carefully read through the requirements for the "WildGuard" cross-platform mobile application project. To execute this project, I propose a detailed plan encompassing the development of the iOS app initially, with the option to expand to Android. The application will allow users to snap or upload photos to identify animals or insects, providing information on potential dangers and offering professional advice. It will integrate features like GPS verification, contacting sponsors, and reporting rubbish to authorities. Additionally, the inclusion of ChatGPT will enhance user interactions by explaining species, answering queries, and ensuring accurate identifications. Having worked with Job Skills for over 7 years, I am confident in my ability to bring your project to life. I am eager to discuss further details and ensure alignment with your expectations. Please connect with me via chat for a more in-depth conversation. Thanks, Liam
$1,125 USD in 7 days
1.4
1.4

Hi my next Client, You don't have to pay if you are not happy with your requirements. I am the Developer you want to work with! Let's get you going. I understand your need for a clean, user-friendly, and seamless cross-platform app for identifying and handling wildlife encounters. With 15 years of experience, I specialize in developing professional and integrated mobile applications. I would love to chat more about your project! Remember you don't have to pay anything if you are not happy with what I can provide you. Regards, Daniel van Vuuren
$1,150 USD in 30 days
0.8
0.8

My experience aligns perfectly with what you're looking for. I understand the need for a clean, professional, and seamless mobile application like "WildGuard." By integrating robust features like ML inference, LLM integration, and user-friendly interfaces, we ensure a top-notch solution for identifying wildlife. I may be new to this platform, but I’ve successfully completed many projects outside of it and bring strong, proven expertise in mobile app development. Looking forward to discussing your project in more detail! Regards, Kyle Faddel
$750 USD in 10 days
0.0
0.0

I am a perfect fit for your project because you're looking for a clean, professional, and user-friendly website with seamless functionality and integrated automation — exactly what I specialize in. I offer web development, design, content writing, and branding services with a strong focus on clean code, intuitive layouts, and smooth user experiences. While I am new to freelancer, I have tons of experience and have done other projects off site. I would love to chat more about your project! Regards, Bian
$750 USD in 14 days
0.0
0.0

Good day Based on your project outline, this opportunity fits my skill set perfectly With many years of hands-on experience in Mobile App Development, Swift, iOS Development, REST API, ChatGPT, I bring deep expertise to every project. Let’s move to chat to go over your requirements step by step. All the best
$750 USD in 7 days
0.0
0.0

Hi, I’ve read through your project description, and I believe I’m a great fit for the role. I'm an expert who has many years of experience on Mobile App Development, Swift, iOS Development, REST API, ChatGPT Lets connect in chat so that We discuss further. Regards
$1,500 USD in 7 days
0.0
0.0

Hi there, you want an iOS‑first WildGuard that identifies species from photos, verifies location via EXIF/GPS on Mapbox, shows a clear danger badge with LLM-backed guidance, and later expands to Android—with all IP staying yours. Recently I delivered a Swift/SwiftUI wildlife safety app using a Core ML model with autoscaled cloud fallback (p95 ~620ms on-device/2.3s cloud), EXIF vs GPS checks, Mapbox overlays, leaderboards, and APNs alerts. I can build the on-device→cloud inference pipeline, ChatGPT API with caching/guardrails, Postgres/Redis backend with signed URL image storage, AOI alerts and “Thanks” messaging, plus offline queueing and GDPR compliance. If helpful, I can share a short MVP plan (capture/EXIF, identification + confidence/LLM, contact + rubbish report flows) so we can align on milestones quickly. Best regards
$1,125 USD in 3 days
0.0
0.0

Let’s build something solid, functional, and flexible tailored to your vision for the cross-platform mobile application, WildGuard. I specialize in creating clean and user-friendly interfaces, ensuring a streamlined experience for all users involved. My expertise in iOS and Android app development, along with proficiency in Swift/SwiftUI and Kotlin/Jetpack Compose, align perfectly with the technology requirements specified for WildGuard. With a keen understanding of integrating ML models like Core ML and TensorFlow Lite/NNAPI, I can ensure top-notch model confidence for species identification. I’m glad to explore next steps if this feels like the right fit for your project. I’m here to contribute and will always be upfront about what’s realistic and how I can add value. Regards, Xen Inc.
$750 USD in 14 days
0.0
0.0

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