Product Use Cases
Search
FullText
Semantic
AI Criteria Tags
Filter + Result Page
Search + Result Page
Customers Say
Attributes/Tag generation
Summarization
Rrecommendation
Product Basket
Personalized
Popularity_based
Category Rec
Product Similarity/relevancy
DataOps
Security & Compliance: Ensuring data privacy (important for health-related apps) and compliance with regulations like HIPAA.
Monitoring and Quality Assurance: Ensure data quality, detect anomalies, and apply corrective actions.
Version Control & Collaboration: Managing different versions of data, changes in ML models, and collaboration among team members.
Data Pipeline Orchestration
Managing the flow from data ingestion
to storage and processing.
Data Storage / Data Lake
OpenSearch: If search and retrieval are key functions, OpenSearch (for analytics) can be used in combination with a data lake.
AWS S3: suitable for building a data lake.
Ingestion Layer
Real-time ingestion: For handling QA, user chats , calendar event updates
Batch ingestion: large data dumps like historical product data or user logs
Data Sorces
7. External, Knowledge_Base
6. Calendar Tracking: Time series data (appointments, events, etc.).
5. QA interactions (Bellysafe, Expert, ...) Text-based data.
Product
4. User clickstream data, system log, user preference
3. User Reviews
2. Product Meta , Details, Categories
1. Base data: User, Expert, ...tabular , text , geospatial
LLMs Tasks
Text Generation
Language Modeling
Plan
Litterateur Review
R&D
Deployment
LLM Modeling and Benchmark
GCP VM Instance
Models and Code
BERTTopic
Data
Amazon Website
Amazon Adver API
Amazon Ready to Use
Data Gathering
Elastic
Crawling Feasibility
Subtopic
Topic Modeling
Research/Base Model with Sample Data
PEFT Methods
Selective
Fine-Tunning
Structural Masking
S-Diff pruning ,S-BitFit , FAR, Bitfit, SPT
Unstructural Masking
U-Diff pruning , FishMask , Fish-Dip , AM
Reparameterized
Fine-Tuning
LoRA Derivatives
Multiple LoRA
LoRAHub, MoLORA , MoA, MoLE, MixLoRA
LoRA Improvement
Laplace-LoRA , LoRA Dropout , LoRA+
Dynamic Rank
DyLoRA , AdaLoRA , SoRA , CapaBoost , AutoLoRA
Low-rank
Decomposition
LoRA , Compacter KronA , VeRA , DoRA
Additive
Fine-Tunning
Soft Prompt-based
Training Speedup
Soft Prompt Design
Prefix-tuning , p-tuning , Prompt-tuning , Xprompt, APrompt
Adapter-based
Multi-task Adaptation
AdapterFusion , AdaMix , AdapterSoup , MerA , Hyperformer
Adapter Design
Serial Adapter, Parallel Adapter, CoDA
Integration with Expert,
Personalized Recommendations
(foods rich ) , Balanced Meal Planning,
and Pregnancy-Safe Consumption
Prediction and personalized notifications
- ~ 10 wdays
- 2 Researcher/Data scientist
Determine the most fertile days.
Recs for increase the chances of conception
e.g. In some cultures, bananas are eaten unripe or cooked,
system can offer information on safe preparation methods for pregnant women.
Criteria
Generation
Test
Integration, deployment, scalability
Modeling
Semi supervised
Unsupervised
Traditional
LLM
Fine-Tunning & Evaluation
Criteria Representation
Criteria Extraction
Data Preparation
Product descriptions, reviews,
and metadata from Amazon
Cleaning and Preprocessing
Crawling
Setting and Set up ML Modeling Environment
Research/Base Model with Sample Data (Min 10 days)
Pregnancy-safe smoothies, banana bread with whole
wheat flour (better for blood sugar control), or frozen banana "nice cream"
Pre-existing allergies, intolerances,
and pregnancy-induced food aversions
Essential nutrients for fetal development
- Min 4 weeks, Max 2 months
- 1-2 Data Scientist
- RAM 64 GB to 128 GB
- 200 GB to 500 GB for model checkpoints and
datasets(1 TB or more for storing fine-tuning
datasets and model checkpoints)
- GPU A100
Suggest foods and drinks known to alleviate nausea and morning sickness
5 wdays
Depends on Crawling Tools and quality and size of the crawled data:
- Min 3 weeks, Max 3 months in case of bad data
- 1 Data Analyst
- Storage: ?
e.g. Craving sweets: Recommend fruit smoothies or yogurt parfaits.
Related to the menstrual cycle or general recom
e.g. ...in case of gestational diabetes suggest monitoring
sugar intake and considering portion control
In case of potential food risks
Offer alternative options with similar nutritional benefits
ProMom AI-empowered
Capabilities Ideas
Type in the name of the project that is under review, and press Enter.
Mental Health and Emotional Support
Tracker
AI-powered chatbots
Expert
New Feats
Automatic appointment setting
Expert Recommendation
Language Preference ,communication method
User Feedback , Rating and Sentiment Analysis
User -Expert Matching(Rec Algorithms)
Text Analytics Engine
Personalized Health Recommendations
Lifestyle
Exercise
Calendar
Effortless Scheduling and Booking
Event Tracker and
Trends Forecasting
Anomaly detection and Recommendation
Mood Tracking and Symptom Prediction
Fertility Window Identification
Menstrual Cycle and Ovulation Prediction
BellySafe
Engagement and Support
Nutritional Guidance and Education
Supplement Recommendations
Balanced Meal Planning
(all necessary nutrients for mom and baby)
Pregnancy-Safe Consumption
Hydration Support
(weather, activity level, and stage)
Caffeine and Alcohol Intake
(Moderation or alternatives)
Personalized Recommendations
(foods rich )
Dietary Restrictions & Aversions
Craving Management
Morning Sickness Relief
Trimester-Specific Needs
Conversational AI
Current Feats
Enhancement
User Feedback Loop
Nutrient Breakdown
Cultural Awareness
Alternative Suggestions
Recipe Recommendations
Risk Assessment and
Health Condition Awareness
Product
New Feats
Personalized Product Recommendation
Topic Modeling and
Fine-Tuning
Sentiment Analysis
Current Feats
Enhancement
Text Analytics Engine
