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You will get AI-Powered Health Food Advisor: Multilingual OCR & LLM

Md Azizul H.Status: Offline
Md Azizul H. Md Azizul H.
5.0
Preview image

Let a pro handle the details

Buy Generative AI services from Md Azizul, priced and ready to go.
Md Azizul H.Status: Offline
Md Azizul H. Md Azizul H.
5.0
Preview image

Let a pro handle the details

Buy Generative AI services from Md Azizul, priced and ready to go.

Project details

AI-Powered Health Food Advisor

The AI-Powered Health Food Advisor is a nutrition management system that uses AI, computer vision, and healthcare tech to help users make informed dietary choices. It processes food labels and offers personalized recommendations based on individual health profiles. Featuring multilingual OCR for English and Bengali, it ensures accessibility across language barriers. A fine-tuned LLaMA 3.2 model, trained on medical and nutritional data, powers its analysis.

Key features include:
 • User Registration: Collects health metrics like age, weight, and conditions.
 • Food Package Analysis: Custom CNN with attention mechanisms extracts nutritional info.
 • Personalized Recommendations: Tailors advice to medical conditions and dietary needs.
 • Meal Planning: Calculates nutritional balance for daily/weekly plans.

The architecture splits into backend (authentication, OCR, LLM engine) and frontend (registration, dashboard, scanner, recommendations). Future enhancements include more languages, advanced meal planning, community features, health device integration, and analytics. This system empowers users to align food choices with health goals effectively.
AI Algorithms
Deep Belief Network, Generative Adversarial Network
AI Applications
AI-Enhanced Medical Imaging, AIOps, Natural Language Generation, Natural Language Understanding, Neural Machine Translation
AI Development Language
Python
AI Tools
PyTorch, Streamlit, TensorFlow
AI Models
LLaMA

What's included $500

These options are included with the project scope.

$500
  • Delivery Time 2 days
  • Number of Revisions 5
    • AI Model Integration
    • Batch Normalization
    • Database Integration
    • Detailed Code Comments
    • MLOps
    • Model Deployment
    • Model Documentation
    • Model Monitoring
    • Model Testing & Optimization
    • Model Tuning
    • Natural Language Processing
    • NLP Tokenization
    • Pre-Training
    • Prompt Engineering
    • Setup File
    • Source Code
Optional add-ons You can add these on the next page.
Fast 1 Day Delivery
+$100
Additional Revision
+$50

Frequently asked questions

5.0
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AP

Anthony P.
5.00
Apr 21, 2025
Python Expert for YouTube Channel Data Analysis Delivered exactly what I needed. Thanks Md!
Md Azizul H.Status: Offline

About Md Azizul

Md Azizul H.Status: Offline
AI & Machine Learning | Deep Learning | Generative AI
5.0  (1 review)
Dinajpur, Bangladesh - 7:24 am local time
I am a researcher specializing in biologically-inspired artificial intelligence and robust neural network architectures. My work bridges neuroscience principles with machine learning, focusing on developing systems that exhibit the stability and resilience characteristic of biological intelligence. I approach research with commitment to both theoretical rigor and practical impact, developing methods that are grounded in biological principles while addressing fundamental limitations in current artificial neural networks.

Research Interests
My research program centers on creating artificial intelligence systems that embody principles of biological robustness and adaptability:

Biologically-Inspired Neural Architectures
Developing neural network layers and systems that incorporate homeostatic regulation, self-repair mechanisms, and multi-scale temporal dynamics inspired by biological nervous systems.

Robust and Resilient AI Systems
Addressing the brittleness of artificial neural networks through bio-inspired stability mechanisms that enable consistent performance under perturbations, distribution shifts, and adverse conditions.

Multi-Scale Temporal Coordination
Investigating how coordination across multiple temporal scales—from milliseconds to hours—can enhance the efficiency, stability, and recovery capabilities of artificial neural systems.

Neuromorphic and Brain-Inspired Computing
Translating principles from neuroscience and evolutionary biology into computational frameworks that advance the capabilities of artificial intelligence.

General AI Agent Systems
Building integrated platforms combining LLMs, computer vision, and researching multi-agent collaboration, developing cross-domain knowledge transfer, and creating benchmarks for general AI capabilities.

Combined Technology Applications
I am actively pioneering applications that merge these research areas, focusing on healthcare diagnostics, intelligent manufacturing, personalized education, and environmental monitoring.

Steps for completing your project

After purchasing the project, send requirements so Md Azizul can start the project.

Delivery time starts when Md Azizul receives requirements from you.

Md Azizul works on your project following the steps below.

Revisions may occur after the delivery date.

Initial Consultation and Requirement Analysi

Review client specifications and health data requirements Define multilingual OCR scope (English and Bengali support [can be add more language]) Finalize AI model selection (LLaMA 3.2 base) Document technical specifications and deliverables

System Architecture Design

Design backend component architecture Create frontend interface wireframes Establish database schema for user profiles and nutritional data Define API specifications and integration points

Review the work, release payment, and leave feedback to Md Azizul.