How should AI_NutriCoach be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

AI_NutriCoach answer-first brief

AI NutriCoach is an AI-powered nutrition assistant that uses vision and NLP models to analyze food images, identify ingredients, estimate calories, deliver nutrient insights, and generate personalized recipe suggestions using CrewAI and WatsonX. --- title: AI_NutriCoach app_file: app.py sdk: gradio sdk_version: 5.12.0 --- AI NutriCoach ( AI Dietary Crew) AI NutriCoach is an AI-powered nutrition assistant that leverages advanced vision models and natural language processing to detect ingredients from food images, filter ingredients based on dietary restrictions, estimate calories, provide detailed nutrient analysis, and generate recipe suggestions. This proje Capability contract not published. No trust telemetry is available yet. Last updated 6/1/2026.

Freshness

Last checked 6/1/2026

Best For

AI_NutriCoach is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 66/100

AI_NutriCoach

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Jun 1, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 6/1/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Jun 1, 2026

Vendor

Saranyams057

Artifacts

Benchmarks

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 6/1/2026.

View Source

Setup snapshot

git clone https://github.com/saranyams057/AI_NutriCoach.git

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Saranyams057

profilemedium

Observed May 24, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed May 24, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

Examples

Snippets

Languages

python

Executable Examples

bash

git clone https://github.com//saranyams057/AI_NutriCoach
   cd Smart-Nutritional-App

bash

python -m venv venv
  source venv/bin/activate  # On Windows: venv\Scripts\activate

bash

pip install -r requirements.txt

bash

WATSONX_API_KEY=your_watsonx_api_key
    WATSONX_URL=your_watsonx_url
    WATSONX_PROJECT_ID=your_watsonx_project_id

bash

python app.py

text

Smart-Nutritional-App-Crew/
│
├── config/
│   ├── agents.yaml               # Configuration for agents
│   └── tasks.yaml                # Configuration for tasks
│
├── src/
│   ├── crew.py                   # Crew definitions (agents, tasks, workflows)
│   ├── tools.py                  # Tool definitions for ingredient detection, filtering, etc.
│   └── models.py                 
│
|__ app.py                        # main gradio code for running the application 
├── requirements.txt              # Python dependencies
└── README.md                     # Project documentation

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

title: AI_NutriCoach app_file: app.py sdk: gradio sdk_version: 5.12.0

AI NutriCoach ( AI Dietary Crew)

AI NutriCoach is an AI-powered nutrition assistant that leverages advanced vision models and natural language processing to detect ingredients from food images, filter ingredients based on dietary restrictions, estimate calories, provide detailed nutrient analysis, and generate recipe suggestions. This project demonstrates the use of CrewAI, WatsonX, and other AI tools to deliver insightful and personalized nutritional feedback.

Features

Ingredient Detection
Detects ingredients from user-uploaded images using a vision AI model.
Dietary Filtering
Filters detected ingredients based on user-defined dietary restrictions (e.g., vegan, gluten-free).
Calorie Estimation
Estimates total calories from the detected ingredients.
Nutrient Analysis
Provides a detailed breakdown of key nutrients such as protein, carbohydrates, fats, vitamins, and minerals.
Health Evaluation
Summarizes the overall healthiness of the meal and provides a health evaluation.
Recipe Suggestion
Generates recipe ideas based on the filtered ingredients and dietary restrictions.

How It Works

The project is built using the CrewAI framework, which organizes agents and tasks into workflows for two primary use cases:

🍽️ Recipe Workflow

Tasks:

ingredient_detection_task
dietary_filtering_task
recipe_suggestion_task

Purpose:
This workflow detects ingredients from the uploaded food image, applies user-defined dietary restrictions, and generates personalized recipe suggestions that align with the user’s preferences.

📊 Analysis Workflow

Tasks:

nutrient_analysis_task

Purpose:
This workflow provides detailed nutritional insights for the uploaded food image, helping users understand calorie and nutrient composition without performing ingredient filtering or recipe generation.

🔄 Workflow Overview

These workflows are designed to address different user needs:

Recipe Workflow for personalized recipe generation
Analysis Workflow for in-depth nutritional evaluation

Each workflow follows a clear, well-defined sequence of tasks handled by specialized agents, as illustrated in the diagrams below.

Workflow Diagrams

Recipe Workflow

Analysis Workflow

🎥 Demo

Watch the Demo Video

Installation

Prerequisites

Python 3.8+
Virtual environment (optional but recommended)
Git

Setup Instructions

Clone the repository:

git clone https://github.com//saranyams057/AI_NutriCoach
cd Smart-Nutritional-App

Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

Install the required dependencies:

pip install -r requirements.txt

Create a .env file in the root directory with the following keys:

 WATSONX_API_KEY=your_watsonx_api_key
 WATSONX_URL=your_watsonx_url
 WATSONX_PROJECT_ID=your_watsonx_project_id

Usage

Run the Application

You can run the application using the following commands:

Example:

python app.py

File Structure

Smart-Nutritional-App-Crew/
│
├── config/
│   ├── agents.yaml               # Configuration for agents
│   └── tasks.yaml                # Configuration for tasks
│
├── src/
│   ├── crew.py                   # Crew definitions (agents, tasks, workflows)
│   ├── tools.py                  # Tool definitions for ingredient detection, filtering, etc.
│   └── models.py                 
│
|__ app.py                        # main gradio code for running the application 
├── requirements.txt              # Python dependencies
└── README.md                     # Project documentation

Contributing

Contributions are welcome! If you have suggestions for improvements or new features, please create a pull request or open an issue.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://www.xpersona.co/api/v1/agents/crewai-saranyams057-ai-nutricoach/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-saranyams057-ai-nutricoach/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-saranyams057-ai-nutricoach/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors

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Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-saranyams057-ai-nutricoach/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-saranyams057-ai-nutricoach/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-saranyams057-ai-nutricoach/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-saranyams057-ai-nutricoach/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-saranyams057-ai-nutricoach/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-saranyams057-ai-nutricoach/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T00:10:31.652Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "label": "Vendor",
    "value": "Saranyams057",
    "category": "vendor",
    "href": "https://github.com/saranyams057/AI_NutriCoach",
    "sourceUrl": "https://github.com/saranyams057/AI_NutriCoach",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-24T06:16:58.488Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-saranyams057-ai-nutricoach/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-saranyams057-ai-nutricoach/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-24T06:16:58.488Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-saranyams057-ai-nutricoach/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-saranyams057-ai-nutricoach/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[]