The final project for the "Big Data and Intelligent Analytics" course taught by Sri Krishnamurthy focuses on leveraging Artificial Intelligence to tackle diverse, real-world challenges. Projects range from job market analysis and news aggregation to personalized healthcare and fashion discovery, employing AI for data processing, personalization, and visualization. Key technologies include Airflow, FastAPI, Pinecone, OpenAI, and various database solutions, with AI applications including NLP, image recognition, and AI-generated illustrations, emphasizing innovative, AI-driven solutions for complex problems.

1. DAMG7245
Final Projects Fall 2023
Instructor: Sri Krishnamurthy

2. Overview:
● Aims to offer a seamless, efficient, and
user-centric solution for job-related inquiries
● Emphasizes ethical standards in data retrieval
and processing, achieved by scraping jobs from
LinkedIn
Features:
● Interactive chatbot accessible through the
Streamlit interface
● Enables users to inquire about available jobs, job
descriptions, and related queries
● Targeted at individuals seeking job-related
information, advice, or assistance
Tech Stack:
● Selenium
● Airflow
● FastAPI
● Postgres
● Snowflake
● Langchain
● OpenAI
● Streamlit
● GitHub Actions
● Docker
T1 : Crafting Intelligence through Analytics

3. T2 : NewsSphere: Personalized News Aggregation Delivery
Overview:
● Automation of news collection, summarization, and
presentation
● Utilizes web scraping of RSS feeds, AI for news
summarization, DALL-E for image generation
● NoSQL databases for efficient storage, Pinecone for
advanced search and retrieval
● Orchestrated by Apache Airflow
● Culminates in a Streamlit-based frontend for personalized
news experiences
Features:
● Designed for quick, efficient news updates
● Tailored for professionals, students, and the general public
interested in current events
● Enables personalized news delivery based on user
preferences
Tech Stack:
● Airflow
● Kafka
● FastAPI
● MongoDB
● Pinecone
● OpenAI
● Streamlit
● Docker

4. T3 : Personalized Healthcare Recommendations System
Overview:
● Innovative system revolutionizing healthcare decision-making
● Focus on personalized medicine using advanced technologies
● Integration of patient data with AI algorithms for tailored
healthcare recommendations
Features:
● Unified platform consolidating patient data from multiple
sources
● Provides a comprehensive view of health history, symptoms,
and preferences
● Utilizes patient data embeddings and AI-driven
recommendation engines
● Tailored doctor suggestions and hospital recommendations for
each patient
● Integration of OpenAI's treatment recommendations for
enhanced healthcare outcomes
Tech Stack:
● Airflow
● FastAPI
● Pinecone
● OpenAI
● Streamlit
● Snowflake
● PostgreSQL
● Docker

5. T4 : StyleLink: Personalized Fashion Discovery Platform
Overview:
● Addresses the gap between style-savvy shopper desires and online retail
platform capabilities
● Focuses on enhancing the visual and personal style-driven shopping
experience
● Aims to transcend traditional text-based queries in the digital fashion
marketplace
Features:
● Creation of a comprehensive solution for small-scale online retail
platforms
● Users can upload images or provide text to specify clothing preferences
● Recommends matching products from an internal database using
advanced image recognition and natural language processing
● Vendors can manage catalogs through a dedicated interface
● Technology stack includes orchestration, cloud computation, web
application development, dockerization, embedding generation, database
querying, and deployment
● Expected deliverables encompass user-friendly interfaces,
recommendation features, vendor management tools, robust product
database, and comprehensive documentation
● Limitations include focus on small-scale platforms, recommendation
accuracy linked to database quality, and need for continuous database
updates
Tech Stack:
● Airflow
● FastAPI
● Langchain
● Pinecone
● OpenAI
● Streamlit
● MySQL
● Docker

6. T5 : Shakespearify - Shakespeare Play Illustration
Overview:
● Targets the widening gap between modern audiences and
classic Shakespearean works
● Addresses the disconnect caused by archaic language and
intricate narrative styles
● Aims to adapt Shakespeare's timeless stories into formats
resonating with today's visually-driven and digital-first
culture
Features:
● Utilizes advanced technologies: Natural Language Processing
(NLP), Artificial Intelligence (AI), and digital illustration
● Focuses on transforming Shakespeare's plays into visually
appealing and easily digestible content
● Aims to rejuvenate interest in Shakespearean literature
among contemporary audiences
● Establishes an innovative connection between classical
literature and modern digital media
● Offers a novel approach to experiencing and appreciating
these literary masterpieces
Tech Stack:
● Airflow
● FastAPI
● Langchain
● Stable Diffusion
● OpenAI
● Streamlit
● Docker

7. T6 : YelpoBot Explorer
Overview:
● Integration of diverse data sources, predominantly
utilizing the Yelp Fusion API for comprehensive
business-related data and customer reviews
Features:
● Deriving insights to aid businesses in exploring new
markets, refining products, and identifying growth
opportunities
● Providing businesses with a deeper understanding of
customer needs and preferences
● Enabling customization of services and products to
elevate customer satisfaction and foster loyalty
Tech Stack:
● Airflow
● FastAPI
● Great Expectations
● Milvus
● Snowflake
● OpenAI
● Streamlit
● Docker

8. T7 : HealthPlanIQ: Informed Health Insurance Decisions
Overview:
● Development of a digital assistant tailored for selecting
Qualified Health Plans (QHPs)
● Empowerment of informed decision-making through
analytical dashboards using comprehensive insurance
landscape data
● Implementation of data engineering processes to
consolidate crucial data for insurance analytics
Features:
● Creation of a digital assistant capable of answering
natural language questions related to Qualified Health
Plans
● Development of analytical dashboards showcasing
trends in insurance data obtained from Healthcare.gov
Tech Stack:
● Airflow
● FastAPI
● Snowflake
● OpenAI
● Streamlit
● Docker

9. T8 : Interactive Audiobook Learning Platform
Overview:
● Development of a centralized audiobook repository with
advanced accessibility features
● Aims to enhance accessibility for individuals with varying
needs
Features:
● Transcription of audio content for the deaf, accompanied
by quiz creation
● Utilization of Natural Language Processing (NLP) models
for summarization and keyword extraction
● Conversion of quizzes into audio playlists tailored for the
blind
● Translation of content into multiple languages for
broader accessibility
● Analysis of sentiment to aid comprehension and
engagement among users
Tech Stack:
● Airflow
● FastAPI
● OpenAI
● NoSQL
● Streamlit
● Docker