PROJECTS
At MysticMind Data Solutions, we are passionate about pushing the boundaries of data and AI. Our projects span a wide range of domains, demonstrating our expertise in solving real-world challenges.
Talk to Relational DB
(Generative AI Project)
Challenge
Businesses today rely heavily on relational databases for storing and managing critical information. However, interacting with these databases often requires complex SQL queries, making it difficult for non-technical users to access and analyze the data.
Solution
We developed a novel Generative AI solution that allows users to interact with relational databases using natural language. Users can simply ask questions in plain English, and our AI model generates the appropriate SQL queries to retrieve the desired information.
Impact
This project empowers business users with greater data access and insights, enabling them to make data-driven decisions more efficiently and effectively.
Custom Company Search using
PDFs and Company Website Content
(Generative AI, LLM, RAG, Chroma DB and Python)
Challenge
Finding comprehensive and up-to-date information about companies can be time-consuming and resource-intensive. Traditional search methods often fall short in providing a holistic view of a company.
Solution
We built a custom company search engine that leverages a combination of technologies.
Generative AI & LLMs
To extract and summarize key information from company websites and PDFs.
RAG
(Retrieval Augmented Generation)
To ensure the AI model accesses and utilizes the most relevant information from a knowledge base.
Chroma DB
To efficiently store and retrieve vector representations of company information, enabling faster and more accurate search results.
Python
To orchestrate the entire search process, from data ingestion and processing to query handling and result presentation.
Impact
This project provides users with a powerful tool for in-depth company research, enabling them to make informed business decisions, identify potential partners, and gain a competitive advantage.
Data Quality Management
(Data Bricks, Data Lake, Relational DB and Generative AI)
Challenge
Maintaining high data quality is crucial for any organization. Inaccurate or incomplete data can lead to flawed insights, incorrect decisions, and significant financial losses.
Solution
We developed a comprehensive data quality management solution using a combination of technologies
Data Bricks
To build and manage data pipelines for efficient data ingestion and transformation.
Data Lake
To store and manage large volumes of data in a centralized and scalable manner.
Generative AI
To automate data quality checks, identify potential issues, and suggest remediation actions.
Impact
This project helps organizations improve the accuracy and reliability of their data, leading to better decision-making, increased efficiency, and reduced operational costs.
Data Governance Project
Challenge
Ensuring data security, privacy, and compliance is critical in today’s regulatory landscape. Organizations need robust data governance frameworks to manage data effectively and responsibly
Solution
We developed a comprehensive data quality management solution using a combination of technologies
Data cataloging and classification
Data access controls and policies
Data lineage tracking
Data privacy and compliance measures
Data quality monitoring and improvement
Impact
This project helps organizations establish a strong data governance foundation, ensuring data security, compliance with regulations (e.g., GDPR, CCPA), and responsible data stewardship.