AllergyGuard — Open-Source Offline Dietary Safety & Recipe Transformation Engine

kunal Choudhary — Thu, 08 Oct 2026 16:57:28 +0000

What I Built

Shared living arrangements create significant friction when one roommate manages severe immunological food sensitivities. My roommate Rahul lives with severe Celiac disease and anaphylactic tree-nut allergies. Commercial cooking platforms routinely make naive recommendations—such as suggesting almond meal as a direct wheat substitute, which introduces a life-threatening anaphylactic vector.

AllergyGuard is an edge-native, open-source culinary safety assistant engineered specifically for Rahul. It accepts conventional culinary recipes and utilizes open-weight AI (Google Gemma 2) to compute functional, chemistry-matched hypoallergenic replacements—preserving authentic texture, lipid mouthfeel, and savoriness without adverse immunological triggers.

Core Capabilities:

Recipe Formulation Engine: Automatically isolates gliadin, bovine casein, and nut antigen vectors in culinary manifests and computes safe, drop-in structural equivalents.
Industrial Nomenclature Inspector: Parses commercial packaged food labels against a 40+ token lexicon covering hidden wheat derivatives (E1400-E1450 modified starches, maltodextrin origins), whey fractions, and tree-nut derivatives.
Hands-Free Kitchen Speech: Uses the Web Speech API to provide audio narration during cooking, allowing users to prepare dishes without touching mobile displays with messy hands.
Gemma 2 Culinary Intelligence: Explains advanced food science concepts, including psyllium hydrocolloid viscoelasticity and nut-free seed lipid emulsification.

Demo

Application Architecture: Clean single-page application built on a dark slate and amber design system with zero third-party telemetry.
Hands-Free Integration: Audio playback enables seamless kitchen workflow execution.
Edge Deployment: Operates completely client-side in the browser with 100% offline reliability.

Code

The source code is licensed under the MIT License and hosted on GitHub:

Kunal-CodeLab / Kunal-CodeLab-allergy-guard

AllergyGuard — Decentralized Dietary Safety & Culinary Transformation Engine

Computational recipe formulation and ingredient nomenclature diagnostics engineered for individuals with severe immunological food constraints.
Developed for the Hacktoberfest 2026 Weekend DEV Challenge (Build for a Friend).

1. Problem Statement & Motivation

For individuals diagnosed with severe autoimmune conditions such as Celiac disease or anaphylactic IgE-mediated tree-nut allergies, communal cooking and dining in shared living spaces represents a daily operational risk. Commercial recipe databases assume standard metabolic tolerance and frequently suggest dangerous naive substitutions—such as recommending almond flour for wheat intolerance, directly violating tree-nut safety.

AllergyGuard was developed specifically for my roommate Rahul, who manages dual immunological constraints: severe Celiac disease and anaphylactic tree-nut sensitivities.

The platform executes entirely client-side, translating conventional recipes into biochemically matched hypoallergenic formulations without reliance on external cloud APIs.

2. Technical Architecture

graph TD
    A[Conventional Recipe / Label Manifest] --> B[AllergyGuard Parsing Engine]
    B -->

…

View on GitHub

Quick Start:


bash
git clone https://github.com/Kunal-CodeLab/Kunal-CodeLab-allergy-guard.git
cd Kunal-CodeLab-allergy-guard
# Open index.html directly in any web browser. Zero build dependencies.

VerdantAI — Open-Source Offline Flora & Agronomy Companion

kunal Choudhary — Thu, 08 Oct 2026 16:09:57 +0000

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass

What I Built

In modern software engineering, developers spend prolonged hours tethered to terminal output and high-luminance displays.

VerdantAI is an edge-native, open-source agronomy and ecological companion engineered around a single design objective: minimize digital interface duration and transition computational workflows into physical horticultural stewardship.

Key Capabilities:

Hyperlocal Sowing & Frost Matrix: Computes frost probabilities, photoperiods, and succession schedules across temperate, subtropical, and monsoon agricultural zones entirely on-device.
Pathology & Diagnostic Engine: Diagnoses foliar chlorosis, fungal pathogens (Erysiphales), and insect defoliation vectors with targeted organic remediation protocols.
Hands-Free Speech Synthesis: Integrates the Web Speech API to provide audio remediation instructions in the field, allowing operators to tend garden beds without contaminating digital devices with soil.
Field Protocols & Habitat Stewardship: A structured operational board that translates agronomic tasks (compost aeration, mulching, seed curation, avian transects) into logged field milestones.
Open-Weight Gemma 2 Integration: Delivers deep botanical reasoning powered by Google's Gemma 2 architecture, supporting local Ollama daemons (gemma2:2b, gemma2:9b), OpenAI-compatible vLLM endpoints, or offline edge heuristics.
Procedural Environmental Sound Synthesizer: Leverages the Web Audio API to procedurally generate bioacoustics and atmospheric soundscapes (forest wind, rain, birdsong) in real-time with zero external media assets.

Demo

Application Interface: Single-page architecture featuring a high-contrast dark botanical design system, deterministic calculations, and zero third-party tracking.
Field Audio Integration: Audio narration allows hands-free inspection during outdoor physical tasks.
Edge Diagnostic State: Real-time connectivity telemetry confirms the application operates fully disconnected from external networks.

Code

The complete source code is released under the MIT License and hosted on GitHub:

Kunal-CodeLab / verdant-ai

Edge-Native Open-Source Flora & Agronomy Companion for Hacktoberfest 2026

VerdantAI — Open-Source Offline Flora & Agronomy Companion

Decentralized botanical intelligence designed to minimize screen dependency and facilitate offline horticultural stewardship.
Developed for the Hacktoberfest 2026 Open-Source AI Challenge (Week 1: Touch Grass).

1. Executive Summary

Modern software development often leads to prolonged screen exposure and disconnection from physical ecosystems. VerdantAI is an edge-native, open-source agronomy platform engineered with a strict design constraint: minimize interface latency and compute duration to direct the user back to hands-on agricultural and ecological engagement.

Powered by Google's Gemma 2 open-weight model family and client-side botanical heuristics, VerdantAI provides localized agronomic guidance, specimen diagnostics, and field protocols without requiring continuous cloud connectivity or proprietary API tokens.

2. Core Architectural Pillars

2.1 Hyperlocal Sowing & Micro-Climate Engine

Calculates frost probability intervals, vernalization thresholds, and optimal sowing calendars across multiple global agricultural zones (Zone 5-11, South Asian plain agro-climates). All computations execute deterministically in the client…

View on GitHub

Quick Start:


bash
git clone https://github.com/Kunal-CodeLab/verdant-ai.git
cd verdant-ai
# Open index.html directly in any modern browser. Zero build steps required.

DEV Community: kunal Choudhary

AllergyGuard — Open-Source Offline Dietary Safety & Recipe Transformation Engine

What I Built

Core Capabilities:

Demo

Code

Kunal-CodeLab / Kunal-CodeLab-allergy-guard

AllergyGuard — Decentralized Dietary Safety & Culinary Transformation Engine

1. Problem Statement & Motivation

2. Technical Architecture

Quick Start:

VerdantAI — Open-Source Offline Flora & Agronomy Companion

What I Built

Key Capabilities:

Demo

Code

Kunal-CodeLab / verdant-ai

Edge-Native Open-Source Flora & Agronomy Companion for Hacktoberfest 2026

VerdantAI — Open-Source Offline Flora & Agronomy Companion

1. Executive Summary

2. Core Architectural Pillars

2.1 Hyperlocal Sowing & Micro-Climate Engine

Quick Start: