Music Review Projects

opportunity

Mobile App Developer Needed for Premium AI Coaching App

Hi, We are looking for an experienced mobile app developer or small team to build a premium AI-powered coaching / mentor mobile app from a completed Figma design. This is NOT a basic chatbot app and not a template app. The product is a structured AI coaching experience with onboarding, AI memory, daily tasks, accountability, progress tracking, push notifications, subscriptions, and basic content/admin control. Core MVP features: - iOS + Android app - Figma implementation - registration / login - onboarding flow - weak-area / problem selection - coach intensity selection - AI first-session questionnaire - AI mentor chat - structured AI memory / user context - daily quote system - ONE main daily task per day - YES / NO accountability - internal commitment score / points - progress tracking - weekly reflections - push notifications - free access / trial logic - subscription paywall - Apple In-App Purchases - Google Play Billing - restore purchases - backend subscription validation - locked / unlocked access based on subscription status - basic admin / content control - App Store + Play Store ready builds - deployment support - source code handover - documentation - post-delivery bug-fix support AI requirements: The AI mentor should not feel like normal ChatGPT. It should use: - onboarding answers - user profile - goals / preferences - selected weak areas - coach intensity - conversation summaries - important user facts - task history - YES / NO completion history - progress history - weekly reflections We do NOT want to send unlimited raw chat history to the AI every time. The memory should be structured, scalable, and cost-efficient. The mentor tone should be: - direct - short - disciplined - honest - action-focused - accountability-driven - not generic - not therapy-style - not motivational fluff Daily task logic: The app should give the user ONE main daily task, not multiple random tasks. Flow: 1. User receives one daily task 2. User receives reminder notification 3. Evening check-in asks YES / NO 4. Result is stored 5. Progress / commitment score updates 6. AI mentor reacts based on behavior 7. Future tasks adapt based on history and user context For MVP, daily tasks should use templates/categories + AI personalization, not fully random AI-generated content. Guidance areas should include: - discipline - focus - work / money - fitness - dating / relationships - confidence - habits - appearance / grooming / style - books / films / music recommendations where relevant These should not be separate complex modules in MVP. They should be part of the AI mentor, task templates, content logic, and daily guidance system. Admin / content control: We need a basic content/admin layer to manage: - daily quotes - task templates / categories - basic recommendation content - AI prompt / config text - basic user / subscription visibility if possible This does not need to be a large enterprise admin panel, but important content should not be hardcoded only. Preferred stack: Mobile: - Flutter or React Native / Expo Backend: - Node.js / NestJS, Django, FastAPI, Supabase / PostgreSQL AI: - OpenAI API - Claude optional later - structured memory system - prompt/config layer Payments: - Apple IAP - Google Play Billing - RevenueCat acceptable if recommended Notifications: - Firebase Cloud Messaging or OneSignal We will provide: - completed Figma design - user flows - mood board / visual direction - AI mentor tone direction - feature explanation - content examples where needed Important: We need someone who understands AI memory, user context, subscriptions, backend logic, scalable architecture, and polished mobile UX. Payments must be milestone-based. Payment after each milestone should only be released after a working, testable demo/build is approved. Please answer clearly: 1. What tech stack would you use and why? 2. How would you handle AI memory / user context? 3. Have you built AI chat or AI assistant apps before? 4. Have you implemented Apple IAP and Google Play Billing before? 5. Would you use RevenueCat or direct Apple/Google billing, and why? 6. How would you structure the backend? 7. What would the basic admin/content control include? 8. Estimated timeline? 9. Best fixed price for the full MVP? 10. Milestone breakdown with payment per milestone? 11. 2–3 real mobile apps you personally built? 12. Confirm source code and handover documentation are included. 13. Confirm payment is released only after each working milestone is approved. Please do not send a generic proposal. We are comparing multiple developers and will shortlist based on relevant AI app experience, subscription experience, strong architecture, fair pricing, clear milestones, and ability to understand product logic. Thanks.

Create automated planning application spreadsheet

I am looking for someone to create an automated spreadsheet/report that pulls the previous week’s UK planning applications from the UK PlanIt data/API. The purpose of the report is to help identify potential trade opportunities for builders, loft conversion companies, kitchen/renovation firms, roofers and other home improvement trades. I need the spreadsheet to be refreshable each week, so I can update it with the latest planning applications and then export or share the data with ChatGPT for analysis. What I need is a spreadsheet system, ideally in Google Sheets or Excel, that can: 1. Pull planning application data from UK PlanIt. 2. Refresh the report weekly to show the previous 7 days of applications. 3. Cover all UK counties / planning areas, not just one local authority. 4. Handle multiple planning authorities within each county where needed. 5. Pull clean, structured data into a spreadsheet. 6. Allow me to filter by county, planning authority, date, application type and likely trade opportunity. 7. Create summary tabs that make the data easy to review. 8. Be simple enough for a non-technical user to refresh each week. **Important functionality required:** The spreadsheet should include: * A refresh button or clear refresh process. * A date range selector, ideally defaulting to the last 7 days. * County / area filtering. * Planning authority filtering. * Keyword filtering for relevant trade opportunities. * Automatic categorisation where possible, for example: * Extensions * Loft conversions * Garage conversions * Renovations/refurbishments * Kitchens * Roofing * Outbuildings * Commercial fit-outs * Other building works * A clean export tab that can be copied into ChatGPT for analysis. * Basic error handling if the API limit is reached or if a request fails. * A simple instruction tab explaining how I refresh and use the report. **Suggested spreadsheet tabs:** 1. **Instructions** Simple user guide explaining how to refresh the data and use the spreadsheet. 2. **Settings / Control Panel** Date range, counties/areas to include, keywords, refresh controls and any API settings. 3. **Raw Planning Applications** The unedited data pulled from PlanIt. 4. **Cleaned Applications** Clean version of the data with standardised columns. 5. **Trade Categorisation** Applications categorised by likely trade relevance. 6. **County Summary** Number of opportunities by county and trade type. 7. **Planning Authority Summary** Number of opportunities by local authority. 8. **ChatGPT Export** A clean tab designed specifically so I can copy/export the data and ask ChatGPT to analyse it. **Required data fields:** Where available from PlanIt, I would like the spreadsheet to include: * Application name/reference * Planning authority * County / area * Application start date * Address * Description * Application type * Development type * Status * Decision, if available * Applicant / agent details, if available * Link to planning application * Latitude / longitude, if available * Last scraped / last changed date * Suggested trade category * Opportunity score, if possible **Trade opportunity scoring:** Ideally, I would like a simple scoring system to highlight the best opportunities. For example: * High relevance: extension, loft conversion, conversion, major renovation * Medium relevance: alterations, outbuildings, roof works, garage conversion * Low relevance: tree works, signage, minor admin applications, discharge of conditions I am happy for the freelancer to suggest the best scoring approach. **Technical requirements:** The freelancer should be comfortable working with: * APIs * Google Sheets Apps Script and/or Excel Power Query * CSV/JSON data imports * Pagination * Rate limits * Data cleaning * Building refreshable dashboards/reports The PlanIt API has paging and request limits, so the system must be built responsibly and should not rely on one huge request. **End goal:** Each week I want to be able to refresh the spreadsheet, see the latest planning applications across all counties, identify the best trade opportunities, and then ask ChatGPT to analyse the data by county, trade type and opportunity quality. **Deliverables:** 1. A working Google Sheet or Excel workbook. 2. Automated or semi-automated weekly refresh process. 3. All required tabs and filters. 4. Clean data structure ready for ChatGPT analysis. 5. Simple instructions for use. 6. A short handover call or written walkthrough. 7. Notes on any limitations of the PlanIt API or recommended future improvements. **Please include in your response:** * Whether you recommend Google Sheets or Excel for this. * Examples of similar API/spreadsheet automation work. * How you would handle all counties and multiple planning authorities. * How you would manage API limits and pagination. * Estimated delivery time. * Fixed price quote.

Review CV and cover letter for Mental Health clinician role

I want to apply for a Mental Health clinician role and I have an up-to-date CV and cover letter, I would like someone to review it to see if it can be improved and to check the grammar. Also, for the role, I have 2 short questions that would like someone to review the answers to.