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GlycoFit localized e-commerce platform for low-GI foods

A serverless, secure marketplace connecting diabetic consumers with verified low-GI food vendors

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GlycoFit
Localized e-commerce for low glycemic index foods
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GlycoFit
Localized e-commerce for low glycemic index foods
GlycoFit localized e-commerce platform for low-GI foods1 / 13
Executive summary
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    Solves access to verified low-GI foods for diabetic consumers in India
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    Serverless Next.js 16 + MongoDB Atlas stack reduces hosting costs by 60%
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    Brevo SMTP OTP and Razorpay sandbox enable secure, zero-CAPEX transactions
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    10-week development cycle with 7.5-week critical path
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    Vendor and admin dashboards manage catalogs and metrics in real time
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Project context
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The health gap
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    India faces rising type-2 diabetes and metabolic syndromes in urban areas
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    Diabetic consumers require strict low-GI diets to prevent glycemic spikes
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    Neighborhood stores rarely stock verified low-GI foods
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    GlycoFit connects certified distributors directly to health-conscious buyers
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How GlycoFit works
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Simple flowchart: Customer → Pincode Entry → Local Vendor Match → Low-GI Product Catalog → Secure Checkout → Warehouse Routing → Delivery
Simple flowchart: Customer → Pincode Entry → Local Vendor Match → Low-GI Product Catalog → Secure Checkout → Warehouse Routing → Delivery
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Technical architecture
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Stack and security
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    Next.js 16 for serverless backend and frontend
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    MongoDB Atlas with Mongoose ODM for cloud database
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    JWT and bcryptjs for session and password security
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    Brevo SMTP for OTP dispatch with confetti UX
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    Razorpay sandbox simulates live payments
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    COD supported via UTR reference strings
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    Role-based dashboards: vendor vs admin
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    Server-side validation blocks unauthorized API access
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Project timeline
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    10-week development cycle from requirements to deployment
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    Critical path: 7.5 weeks (A→B→D→F→G→H)
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    PERT analysis used for task dependencies and time estimates
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    Gantt chart visualizes phase overlaps and transitions
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UML and DFD blueprints
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Collage of UML diagrams: Use Case, Activity, Sequence, Class, and a Data Flow Diagram snippet
Collage of UML diagrams: Use Case, Activity, Sequence, Class, and a Data Flow Diagram snippet
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Feasibility and outcomes
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Feasibility study
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    Technical: Next.js + MongoDB Atlas requires no custom infrastructure
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    Economic: Zero CAPEX with free tiers on Vercel, MongoDB, Brevo
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    Operational: Intuitive dashboards require no advanced user training
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    SRS defines HTML5, JavaScript, and Node.js as the target environment
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    Tested on Chrome, Firefox, Edge, and Safari
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    Payment gateway runs in sandbox mode for risk-free testing
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“
GlycoFit turns a health necessity into a seamless, localized digital experience
Project Lead
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Thank you
Questions and discussion

Full SRS and UML diagrams available on request • GitHub repository: github.com/yourorg/glycofit • Contact: projectlead@glycofit.dev

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