RFP - PHP WebApp - IP Add Reputation MVP

Guru Technology & Programming Overseas
519 days ago

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RFP - PHP-based Web App - IP Address Reputation Service MVP Hello, How are you? I hope this finds you well. We are seeking proposals from qualified service providers/individuals to develop and deliver…

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Looking to create a master referee and umpire app. This app will have the same core across all sports, but then each app will be downloaded separately with that sport's logic built in. We are looking at creating an app for football and futsal, rugby union and league, and tennis. I have attached a number of attachments, showing the overview of what we expect across all watches, then dive into each sport and what each app needs to have. We are looking to build an amazing app that covers these sports, which will have the same core but then each has its own sport logic. We need to do a deep review of all the laws of that sport to understand the role of a referee or umpire, what they record, and what logic and safeguards could we build in to help them. Amazing opportunity to build the world’s best referee platform. Goal Mobile App (Cross-Platform) • React Native 0.74+ (bare workflow) • Expo EAS (for OTA updates, builds, CI) • SQLite or WatermelonDB (offline-first storage) • react-native-ble-plx (for BLE communication) • react-native-biometrics (for Face ID / Touch ID / Android Biometrics) • On-device Whisper (PyTorch Mobile or TFLite) • SecureStore / Keychain / Android Keystore for sensitive data • Fastlane (App Store + Play Store deploy automation) ⸻ Apple Watch App • Native Swift + SwiftUI + WatchKit • WKExtendedRuntimeSession (for long-running match sessions) • CoreBluetooth (client-only BLE, sync with paired iPhone) • Local CoreData or file-based event logging • Background sync via paired iPhone ⸻ Wear OS (Android Watch) App • Native Kotlin + Jetpack Compose • ForegroundService (for match runtime) • BLE Peripheral + Central roles enabled • FusedLocationProviderClient for GPS • SQLite for offline event buffering • Android SpeechRecognizer (optional Whisper if hardware supports) ⸻ Other Smartwatches • No consistent BLE or dev support beyond Apple + Wear OS • Recommendation: Do not support Fitbit, Garmin, or proprietary platforms unless using their SDKs just for fitness/HR integration ⸻ Web Platform • Next.js 14 + React 18 • Tailwind CSS (utility-first responsive design) • Strapi or Directus (headless CMS for rule management, teams, config) • Firebase Auth or Clerk.dev (SSO, OAuth, email login) • Custom match review dashboard (React + Timeline for event/video sync) ⸻ Backend & Infrastructure • Node.js 20+ with NestJS (modular and scalable API framework) • PostgreSQL 16 (relational + geospatial queries) • Redis (caching, pub/sub, rate-limiting) • BullMQ or Temporal.io (match workflows, sync jobs) • WebSockets or Server-Sent Events (real-time updates) • Cloud provider: AWS or GCP • Infrastructure as Code: Terraform ⸻ AI & ML • OpenAI Whisper (on-device transcription, multilingual) • TensorFlow Lite or PyTorch Mobile (for gesture/foul detection) • MediaPipe or YOLOv7 (on-device or edge pose detection) • Firebase Remote Config or custom CDN for model delivery/versioning ⸻ BLE & Sync Logic • Buffered event logging (sync every 30–60 seconds) • BLE RSSI-aware retries and backoff • Apple Watch: BLE via iPhone bridge • Android Watch: direct BLE to phone or peer watch (if needed) ⸻ DevOps • GitHub Actions (CI/CD for web + backend) • Expo EAS Build + OTA • Docker for backend services • Firebase App Distribution for early testing • Sentry + OpenTelemetry (error tracking and performance) • Grafana + Prometheus (metrics and observability) ⸻ Cybersecurity & Compliance • Appdome (app shielding, anti-reverse engineering) • Firebase App Check + rate limiting via Redis • AES-256 encryption at rest, TLS 1.3 in transit • Keychain (iOS) / Keystore (Android) for biometrics + secrets • GDPR/CCPA-compliant privacy tools (OneTrust or Transcend) • Secrets management: Doppler or AWS Secrets Manager • Annual pen testing + SAST (Static Analysis) in CI ⸻ Optional / Enterprise Features • Match integrity scoring (GPS, BLE, behavior) • AI coach for referees (post-match performance feedback) • Video annotation + synced voice log review • Referee network platform (availability, scheduling, credentialing) • White-label capabilities for leagues or federations Apps creation Football referee app Futsal refeeee app Rugby union referee app Rugby league referee app Tennis umpire app. Full created, best platform and stack possible, fully tested, fully uploaded and a full website to go along with this for full marketing and dashboard for referee/umpires and all admin access to control and review issue
2000.0 GBP Technology & Programming peopleperhour Overseas
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1. Project Objective Design, build and deploy an AI‑driven LinkedIn workflow that automatically generates and delivers personalised lead magnets to three Ideal Customer Profiles (ICPs)—law‑firm owners, IT consultants, and accountancy‑practice partners—so you increase qualified conversations and booked calls. 2. Business Context Current outreach: Heyreach.io Campaign #1 – re‑engage 1st‑degree connections Heyreach.io Campaign #2 – nurture post reactors Existing lead magnets: Business Growth Quiz, “Create Clarity” Playbook, podcast episodes, case study, ChatGPT‑powered Exit Blueprint. Other tools in stack: LinkedIn Sales Navigator, Apollo.io, Clay, Trigify. Strategic hook: Each ICP advises founders who want to scale and exit but lack a structured exit strategy; lead magnets must surface that pain and position your “scale‑to‑exit framework.” 3. Desired Future Workflow (high‑level) Detection Trigger on new 1st‑degree connection, post reaction, or saved search match. Enrichment & ICP Classification Pull firmographics via Apollo / Clay API (industry, headcount, role). Classify into ICP‑Law, ICP‑IT, ICP‑Accountancy (fallback = “Other”). Personalised Lead‑Magnet Generation Use OpenAI API (GPT‑4o) + prompt templates to create: A bespoke 2‑page PDF mini‑playbook (pain points + quick wins). A unique share‑link to your tailored ChatGPT Exit Blueprint (pre‑loaded with their context). Asset Production Render PDF via serverless doc generator (e.g., Documint, PDFLib, or HTML‑>Puppeteer). Store in S3 / CloudFront; capture public URL. Delivery Sequencing (via Heyreach) Day 0 DM: pattern‑interrupt hook + quiz link. Day 2 Auto‑follow‑up: drop personalised PDF link. Day 5 Nudge: invite to 15‑min “Exit Readiness Review” call. Feedback Loop Sync engagement data back to Airtable/CRM; score lead; auto‑stop on meeting booked. 4. Functional Requirements # Requirement Notes F1 Identify contact ICP via enrichment API and keywords in LinkedIn headline < 300 ms per contact F2 Generate PDF lead magnet with dynamic sections: intro, pain diagnostic, 90‑day action plan, CTA Template must support variable brand colours F3 Create custom GPT blueprint link pre‑seeded with firm name + challenges Use OpenAI “file‑based” system prompt F4 Push asset links + personalised copy back into Heyreach via webhook Must merge‑tag into existing campaign templates F5 Log all events to central datastore (Postgres or Airtable) For reporting & A/B testing 5. Non‑Functional Requirements Security & GDPR: No PII stored outside EU data centres without encryption at rest & TLS 1.2+. Scalability: 2 000 contacts/day with 80 % coverage) Prompt Engineering Library (YAML/JSON templates) CI/CD Pipeline (GitHub Actions) incl. lint, tests, security scan, deploy Admin Dashboard (low‑code Retool) showing pipeline stats & lead downloads Playbook (PDF/Notion) for Marketing Ops: how to create/edit templates 30‑day Hypercare Support 8. Success Metrics (90‑day post‑go‑live) 30 % ↑ in qualified meetings booked from LinkedIn. ≥25 % click‑through on personalised PDFs. Lead magnet production cost ≤ $0.45 per contact (compute + API). System uptime ≥ 99.5 %. 9. Timeline & Milestones Week Milestone 1 Requirements finalised, access to APIs provisioned 2 MVP pipeline: enrichment → content generation → asset storage 3 Heyreach integration & DM templates wired 4 PDF branding polish + dashboard 5 End‑to‑end QA, GDPR review 6 Pilot on 200 contacts 7 Iterate, performance tuning 8 Full launch + hand‑off 10. Risks & Mitigations LinkedIn API/ToS changes: Use headless browser fallback script; monitor rate limits. OpenAI pricing spikes: Add Claude Sonnet or open‑source fallback in abstraction layer. Personalisation fatigue: Rotate prompt templates quarterly; A/B test offers. 11. Next Steps Confirm or adjust scope & KPIs. Provide dev with API keys & brand assets (logo, colours, fonts). Schedule weekly stand‑up cadence and shared Slack channel (doesn't necessarily have to be slack) Must have experience in multiple LLMs
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