Phoenix - Your AI Assistant2 Projects
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MUSLIM FLUENT ENGLISH SPEAKING TELESALES & MARKETING AGENTS
Experienced Muslim TeleSales & Marketing Agent Required (Remote) ABOUT THE ROLE We are looking for a confident, motivated and experienced Muslim TeleSales & Marketing Agent to join our growing educational organisation. Your primary role will be to contact prospective Muslim parents and individuals, introduce our Qur'an, Arabic and Islamic Studies programmes, answer enquiries, follow up leads and convert enquiries into student enrolments. This is an ongoing remote opportunity for someone with excellent communication skills and a genuine passion for Islamic education. You will be set target number of calls and sales daily. ESSENTIAL REQUIREMENTS: Practising Muslim with a good understanding of Islamic etiquette and values. Fluent spoken and written English (native or near-native level). Excellent telephone manner with a confident and friendly personality. Proven experience in telesales, customer service or sales. Comfortable speaking with Muslim families from the UK and internationally. Reliable internet connection and a quiet working environment. Self-motivated and target-driven. RESPONSIBILITIES Contact warm and cold leads by telephone and WhatsApp. Respond to customer enquiries professionally. Promote Qur'an, Arabic and Islamic Studies programmes. Follow up prospective customers and encourage enrolment. Maintain accurate customer records. Work towards agreed sales and conversion targets. Assist with marketing campaigns and customer engagement activities. Provide regular progress updates. Preferred Experience Maintain confidentiality and data protection to highest standards Experience selling any of the following would be advantageous: Educational services Online courses Islamic products or services Tuition or training programmes Charity fundraising or community engagement WHAT WE OFFER Flexible remote working. Long-term opportunity for the right candidate. Performance-based bonuses available. Opportunity to grow into a senior sales and marketing position. Work for an organisation making a positive impact through Islamic education. Daily pay rate of £1.50 per hour (£15 daily) TO APPLY: Please include: A brief introduction about yourself. Details of your previous telesales or sales experience. Examples of your sales achievements. Confirmation of your availability daily 10am-8pm (UK time). A 1–2 minute voice recording introducing yourself in English so we can assess your communication skills. Only applicants who meet the essential requirements and provide a voice recording will be considered.
Machine Learning Research Proposal Specialist
Overview We are looking for a Machine Learning Research Proposal Specialist to create a polished, professional research-style write-up for an ML evaluation task. The submission should propose a machine learning problem within the writer’s domain of expertise and must be directly related to machine learning. The final deliverable should be written in markdown format, follow the provided template exactly, and be no longer than 1–2 pages with a maximum of 8 paragraphs. Project Goal The goal of this project is to design a machine learning benchmark or problem that is complex enough to challenge a strong state-of-the-art LLM. The problem should not be a simple generic ML pipeline task. It should require deep domain expertise, advanced reasoning, and layered technical understanding that would be difficult for a general-purpose model to solve without specialized knowledge. Responsibilities The selected specialist will write a complete research proposal-style submission using the required sections: Domain and Motivation, Task Design, Data and Data Generation, Sources of Difficulty, Reference Solution and Scoring, and Citations. Each section should be concise, polished, and limited to one paragraph. The proposal should clearly explain the ML domain, why the task is meaningful, what is being predicted, how the data would be generated or adapted, why the task requires extrapolation, and why naive approaches would fail. Ideal Candidate The ideal candidate has strong experience in machine learning, applied AI, data science, or ML research, with expertise in at least one technical or scientific domain such as healthcare, finance, robotics, cybersecurity, biology, materials science, geospatial analysis, NLP, computer vision, or another complex field. They should be able to design a creative ML task that rewards real domain knowledge rather than basic textbook ML skills. Required Skills Strong understanding of machine learning problem formulation, benchmark design, data generation strategies, train/test split methodology, model evaluation, and scoring metrics is required. The candidate should also be comfortable explaining why a task is difficult, what domain-specific insights are needed, and how an expert would approach solving the problem. Clear technical writing and the ability to produce concise markdown-formatted documentation are essential. Deliverable The final deliverable will be a markdown-formatted research proposal following the provided template. It should be professional, concise, and no more than 8 paragraphs total. The proposal must involve machine learning directly and should include citations where applicable, such as relevant research papers, datasets, GitHub repositories, or other credible references that support the proposed task. Important Notes This is a machine learning evaluation project, so proposals that are not directly related to ML will not be accepted. The model output should be ignored during the evaluation process, and once the prompt has been entered and the model generates a response, the evaluator should select “Done Chatting.”
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.
opportunity
UK Solicitor ONLY: Food app T&Cs, privacy & telemetry
I am launching a consumer mobile app in the food and recipe space, helping people reduce food waste and discover recipes. I need comprehensive legal documentation and data protection advice before going live. Full technical details will be shared once engaged. ------------------------------------------------- 1. PRIVACY POLICY, TERMS & CONDITIONS, AND TERMS OF USE Full, production-ready documents suitable for App Store (Apple) and Google Play submission, covering a global user base. Must address: - Data collected, purpose, and retention - Lawful basis for processing across all major jurisdictions (UK, EEA, US, and a framework for the rest of the world) - User rights (access, erasure, portability, objection) - Third-party processors and data sharing - Cookie/tracking equivalents in a mobile context - Minimum age requirements across jurisdictions ------------------------------------------------- 2. TELEMETRY AND DATA COLLECTION ADVICE The app collects behavioural telemetry linked to a pseudonymous per-install identifier (no name or email stored). I need written advice covering: - What I can legally collect, and on what lawful basis, across different regulatory regimes (UK GDPR, EU GDPR, CCPA/CPRA, and any other material jurisdictions) - Legitimate interest vs. consent, when each applies and how to document it - Anonymisation thresholds, what level of aggregation (e.g. on-device aggregation, k-anonymity, category-level bucketing) takes data outside scope entirely, and the equivalent thresholds under CCPA and other regimes - Commercial data licensing, whether and how anonymised or aggregated data can be sold or licensed to third parties without consent obligations, and what conditions must be met per jurisdiction - Children's data obligations by jurisdiction (COPPA, Article 8 UK/EU GDPR, etc.) - Proportionate and defensible retention periods ------------------------------------------------- 3. DPIA REVIEW Review and sign off a completed draft DPIA for the telemetry feature. Full document provided once engaged. ------------------------------------------------- WHAT I AM NOT LOOKING FOR - Generic template documents - Advice limited to UK/EU only, global coverage is a requirement - Junior associate work without senior oversight ------------------------------------------------- DELIVERABLES - Production-ready Privacy Policy (global scope) - Production-ready Terms & Conditions and Terms of Use - Written advice note on telemetry, anonymisation thresholds, and commercial data licensing by jurisdiction - DPIA sign-off or marked-up revisions ------------------------------------------------- BEFORE I ENGAGE, PLEASE PROVIDE Proof of qualification - SRA number or equivalent with current practising certificate Relevant experience - examples of privacy policies or data protection advice delivered for consumer mobile or digital products (anonymised references or case studies are fine) Data protection specialism - confirmation this is a primary part of your practice, not an occasional add-on; CIPP/E or BCS Practitioner Certificate in Data Protection preferred Global coverage - confirm you can advise substantively on UK GDPR, EU GDPR, and US (CCPA/CPRA) at minimum, and state clearly which other jurisdictions (Canada, Australia, Brazil etc.) you can or cannot cover Turnaround - this is blocking a production release, please state realistic timelines upfront
I have written a poem, I want videos played throughout.
I have just this evening written a poem, I still need to revise it slightly, but I would ideally love someone who could compile a 3:29 video with background music 'Sand Drawing - Judah Earl'. I have read it out loud with this song playing quietly in the background, I am no video editor, but with weeks of planning and software and time - which I do not have - I may be able to pull something off. Alas, I require the help of a professional. I have worked out roughly, each video needs to be 3-5 seconds long. I don't know whether it's easier to compile them all at 5 seconds and then shorten the clip to match the words? I have details below the scenes I would love to have based on the chronological order of the poem. The one caveat, is ideally I would love to make all the clips my own, using me, my friends and family. However, that will take much longer. Therefore, I thought, if I can pay someone to get the whole video created, with the text and timing done to a tee, then I could ideally work with you again to revise some if not all of the video clips and swap them out with my own. How does that sound? I don't know the price, might have to be an hourly basis. It would also be lovely if you have your own video footage, to make it personable, otherwise stock footage is fine. As I say, with potential revisions done later. Video Scene Order: 1- A man sat quietly on a bench in the background, looking somewhat sad, with hustle and bustle, crowds of people in the foreground passing by as he looks around. 2- A man or woman praying in a church, chapel, then looking out the stained glass window at the end. 3 - two friends hugging and talking 4 - A Mother and Father dancing or grandparents 5 - A man crying looking to the skies, cloudy grey skies, close up of the eyes, filled with sadness - this could be a couple of videos 6 - Sky scenes, clouds, rain, sunsets in the sky, birds flying, a few montage scenes 5-8 seconds 7 - Flying birds, like a murmuration of birds would be wonderful 8 - Crying person with great emotion, letting it all out, saying goodbye perhaps 9 - someone skimming with a stone, the stone disappears - farewell. another drop in the ocean so to speak. 10 - Traveller, explorer, filmed from behind, with a rugged backpack, climbing a hill, mountain, coast path, adventure themed, moving on, going forth with great strength. 11 - Young couple kissing, intimate, young love 12 - Older couple embracing, long lasting love 13 - Seasons Montage - Spring, Summer, Autumn, Winter. - beautiful. 14 - Clocking spinning, turning, large railway clock, maybe a time lapse of people at times quare station flying by - hinting time flying by. 15 - Someone thinking, deep in thought, pondering questions, maybe sat somewhere quiet. 16 - Something to portray gladness and sadness - good times and bad times, laughter and difficult times. 17 - Workout video, a man or woman pushing through the pain, close up shot in their eyes lifting heavy weight or at the gym, showing power, strength and resilience. 18 - Heartbreak, someone alone by a tree, in a park, relationship ended, sad tears, something to show the world falling around them, maybe leaves falling from a tree as a secondary video. 19 - Clear, calm seas, a beautiful shot of calm waves and maybe a sunset or a whale breaching. 20 - Trees blowing in the wind, shot looking up through the trees. 21 - Moonlight, a breeze at night, a night time scene, maybe the night sky and a shooting star afterwards. 22 - Sunrise, the most beautiful sunrise shot, maybe even with someone in it, looking at the sun as it rises. 23 - A man - me eventually - sat in a meadow, a lovely field, an old English Oak Tree, a wooden field gate, something such as this, looking into the sunset, the shot filmed from behind, contemplating life and lost in thought. End Scene. Thanks p.s. I don't have bags of money, but this is so special to me, I want it to be the first video on my new Instagram account, dedicated to my film making and poetry, reigniting my old self.
opportunity
AI-Powered Deal Origination & Opportunity Intelligence Platform
Overview Build an MVP AI-powered deal origination and opportunity intelligence platform to identify UK private company acquisition, succession, refinancing and distressed opportunities. The platform should analyse public company data, identify high-probability opportunities, enrich decision-maker information, generate AI reports and support targeted outreach. This is an MVP validation project requiring a fast, practical build with scalable foundations, not an enterprise solution. Core Objectives The platform must: • Collect company/director data • Analyse and score opportunities • Identify decision makers • Enrich contacts • Generate AI intelligence reports • Create outreach recommendations • Store opportunities in CRM • Maintain continuously updated pipelines Data Sources Required: • Companies House API • Gazette Insolvency Feed • Company websites • Public web research Preferred: • LinkedIn enrichment • Contact providers • News feeds • Business directories Future: Planning data, Land Registry/property ownership, email automation, workflows, dashboards, additional providers and AI agents. Functional Requirements 1. Company Intelligence Engine Retrieve, store and update: • Company name, number, address and SIC codes • Filing history, accounts and charges/mortgages • Directors and shareholders where available • Insolvency notices and Gazette events • Website and content summaries Maintain structured profiles for each company. 2. Opportunity Scoring Engine Core IP component. Must be configurable, AI-independent and adjustable without code changes. Required: • Weighted and rule-based scoring • Score explanations • Confidence ratings Scores: Acquisition: revenue, EBITDA/profitability, growth, recurring income, sector attractiveness, leverage. Succession: director age, ownership length, ownership concentration, management depth, succession indicators. Refinancing: lender charges, debt profile, leverage, property ownership, maturity indicators. Distress: insolvency notices, winding-up petitions, director resignations, overdue filings, negative trends. Probability of Sale: founder age, ownership duration, succession indicators, growth plateau, market conditions. Example: Sale Score: 86/100 Reasons: • Founder age estimated 67 • Sole shareholder • 24 years ownership • Stable profitability • No succession structure identified AI explains scores; scoring remains framework-driven. 3. Contact Enrichment Identify/store: • Founder, CEO, Managing Director, shareholders • Email, telephone, website, LinkedIn • Decision-maker information Supports future outreach and relationship development. 4. AI Intelligence Briefs Generate for high-ranking opportunities: Company Summary: Business description, financial overview, strengths. Opportunity Summary: Selection rationale, engagement potential, strategic rationale. Engagement Angle: Succession planning, growth capital, partnership, acquisition or refinancing 5. CRM MVP CRM must support: • Opportunity storage • Search/filtering • Notes and comments • Status tracking • Outreach tracking • Score history Workflow: Identified → Qualified → Contacted → Conversation Started → Active → Mandated → Closed 6. Outreach Intelligence Generate/store: • Personalised emails • LinkedIn messages • Telephone briefs No automated sending required AI Architecture Use model-agnostic architecture that remains operational if providers change Support: OpenAI, Anthropic Claude, Google Gemini, Meta Llama, DeepSeek, Qwen and future providers Admin controls: • Select AI provider • Change providers without code changes • Configure API keys • Add models Scoring must remain independent of AI Technology Backend: Python, FastAPI Database: PostgreSQL, Supabase Frontend: React, Next.js Infrastructure: AWS, Vercel, Supabase AI: Provider-agnostic APIs with future agent support Scalability Support future: • Multi-agent workflows • AI orchestration/MCP • Additional APIs • Email and workflow automation • Large-scale analysis • Advanced reporting Future integrations: CRM systems, enrichment providers, email systems, Land Registry, planning/property/commercial intelligence sources Dashboard Provide a simple user-friendly dashboard for non-technical sales/outreach users with navigation, opportunity views, filtering, pipeline management and AI insight access Deliverables • Working MVP • Source code • Deployment instructions • Technical documentation • Configurable scoring engine • CRM • Company intelligence engine • Contact enrichment • AI opportunity reports • Outreach generation • User administration • Large-scale UK company analysis capability Proposal Requirements Include: • Relevant examples • Architecture • Technology stack • Cost estimate • Delivery timeframe • Support options • MVP improvements Budget Open to proposals. Preference for developers experienced in AI intelligence platforms, CRM systems, API integrations and scalable MVP delivery rather than enterprise builds
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.
