AI Marketing Toolkit Development for Multi-Channel Campaign Automation

Objective: Design and build a reusable, AI-powered marketing toolkit to support scalable digital campaigns across Meta (Facebook, Instagram) and Google Ads (Search, Display, YouTube). This project will focus on integrating OpenAI API for content generation, n8n for workflow automation, and Baserow as the central campaign database. The goal is to enable faster, more intelligent campaign development—from content ideation to deployment—while reducing manual work and improving testing speed. Project Scope Includes: This toolkit will be used across a variety of campaigns and marketing goals, so it should be flexible, modular, and easy to adapt for different audience segments and content styles. Tasks: ✅ 1. Research Consolidation & Workflow Planning Review existing research assets including prior campaigns, personas, keyword research, email funnels, and ad creative Identify key repetitive tasks in campaign setup and content generation that can be automated Map out a blueprint of where automation, AI content, and centralized data can improve efficiency ⚙️ 2. Tool & Platform Integration n8n : Build automation workflows to: Trigger content creation tasks Manage campaign asset approvals Push copy, targeting data, or campaign briefs into spreadsheets, CRMs, or ad tools Baserow : Design a flexible campaign database to track: Campaign names, types, objectives Targeting parameters (location, demographics, behaviors) Creative versions, ad copy, hooks, and call-to-actions OpenAI API : Create a set of prompt templates for: Google and Meta ad headline variations Primary text, descriptions, and creative briefs Email sequences, landing page hooks, and keyword clustering 🎯 3. Campaign System Development Develop modular campaign kits that include: Prompt templates linked to specific campaign goals Automation workflows for briefing, content review, and deployment Templates for audience segmentation and creative testing Design variations for ad placements on: Meta Ads (Facebook/Instagram) Google Ads (Search, Display, YouTube) 📈 4. Testing & Optimization Simulate outputs from OpenAI to compare tone, structure, and engagement style A/B test content variants in sandbox environments Document recommended workflows and system improvements

Yoga Therapy Application Development with Wearable Integration

Objective: Build the core backend and functional infrastructure for a mobile yoga therapy app that integrates with wearable devices (Apple Watch, Fitbit, Garmin). The goal is to collect, process, and analyze biometric data to deliver personalized yoga recommendations and support yoga therapy clients. Note: All project management , user research , and requirements gathering have already been completed. Students will focus on software development , particularly backend systems, wearable API integration, and data processing. Some UX components may need to be supplemented or connected to existing designs. Project Tasks: ✅ 1. Review Existing Research & Planning Assets Familiarize yourself with the pre-developed project plan, user stories, technical requirements, and design references. Review data schemas, API use cases, and product vision (documents will be provided). 🧠 2. Wearable Integration & Data Engineering Connect with APIs such as Apple HealthKit, Google Fit, Fitbit, and Garmin. Standardize and store biometric data (e.g., sleep, HRV, heart rate, stress, step count). Ensure consistent formatting and prepare for scalable integration across devices. 🔁 3. Logic Layer: Yoga Feedback Engine Translate incoming data into meaningful recommendations using rule-based or ML logic. Example: If sleep score is low, recommend restorative yoga routines. Optionally support therapist-created decision trees or custom flags for high-risk users. 💻 4. Backend Development Set up secure APIs to handle incoming data, client sessions, and therapist interactions. Handle user authentication, therapist-client assignments, and session data history. Store and serve data for front-end consumption (dashboard, progress charts, etc.). 📊 5. Front-End Collaboration (Optional) Collaborate with the UI/UX team if further design is required for therapist or client dashboards. Test API integration with mock front-ends or basic front-end components if needed. 🧪 6. Testing & Refinement Conduct unit and integration tests for API reliability. Simulate wearable data input and analyze the system’s logic response. Optimize backend performance and prepare documentation for handoff. First draft landing page: https://ksaeojwp.manus.space/

UI/UX Design for a Yoga Therapy + Learning App with AI & Wearable Integration

Objective: Design a mobile-first yoga app that empowers yoga therapy clients and general wellness seekers. The app will feature AI-powered personalization, wearable device integration (Apple Watch, Garmin, Fitbit), and therapist-facing tools—while connecting externally to our existing online community forum. A detailed project management outline is already available to guide student or team workflows. Target Users: Yoga Therapy Clients – Individuals managing chronic conditions, stress, or pain, working with a certified yoga therapist. Yoga Learners & Wellness Enthusiasts – Individuals seeking to learn and practice yoga independently, guided by AI and personalized plans. Yoga Therapists – Professionals who assign personalized routines, track biometric data, and support clients with digital tools. Core Features to Design: 🔹 AI-Powered Onboarding & Personalization Wellness intake: health goals, conditions, yoga experience AI-generated programs (e.g., “Morning Energy Boost,” “Yoga for PCOS”) Smart progression based on usage, feedback, and wearable inputs 🔹 Wearable Device Integration Sync with Apple Health, Google Fit, Garmin, Fitbit Display metrics: sleep, heart rate, HRV, step count, etc. Adapt recommendations based on data trends (e.g., low sleep = restorative yoga) 🔹 Therapist Interface (for clients working with a professional) Client dashboard with session logs and biometric summaries Assign/review practices and session feedback Add video/audio notes or secure messages 🔹 Practice & Learning Interface (for all users) Daily guided sessions (video/audio) from AI or therapist Bookmarking, history tracking, and adaptive flow suggestions Journal prompts for mood, energy, pain, and progress check-ins 🔹 Educational Resources Video library of condition-specific or goal-based sessions Meditation, breathwork, and yoga nidra collections Beginner foundations and posture tutorials First draft landing page: https://ksaeojwp.manus.space/

AI Integration for Yoga Therapy Marketplace

The project's main goal is to enhance the user experience, accessibility, content delivery, and operational efficiency of MyYogaNetwork.com through the development and integration of AI-based features. This includes creating personalized therapist recommendations, marketplace optimization tools, language translation tools, adaptive interfaces, and an educational chatbot while ensuring data privacy and security compliance.