You will get actionable insights via natural language queries and visualizations.
Project details
InsightGenie is an innovative AI-driven application designed to revolutionize how businesses interact with their data. Unlike traditional BI tools, InsightGenie empowers business users to query complex data sets in natural language and receive instant, actionable insights. The application intelligently understands the data schema, converts queries into optimized SQL commands, and presents the results in visually compelling charts. It supports multiple data uploads, retains a history of queries and visualizations, and offers dynamic, interactive charting capabilities. Built with Python, SQLite, OpenAI LLM, and Streamlit, InsightGenie stands out for its simplicity, power, and user-centric design, making data analysis accessible to everyone, regardless of technical expertise.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, Natural Language UnderstandingAI Development Language
PythonAI Tools
Hugging Face, StreamlitAI Models
GPT-4What's included $10,000
These options are included with the project scope.
$10,000
- Delivery Time 20 days
- Number of Revisions 2
- AI Model Integration
- Database Integration
- Detailed Code Comments
- Natural Language Processing
- Prompt Engineering
- Setup File
- Source Code
Frequently asked questions
About Mahmood Zayeem
AI/ML Engineer | Python Developer | Generative AI & Chatbot Specialist
Hong Kong, Hong Kong - 12:45 am local time
I am a seasoned AI/ML Engineer with over 7 years of experience in the IT industry, specializing in Data Science, Machine Learning, and Generative AI. My expertise spans across various domains including personalized recommendation systems, customer segmentation, and intelligent chatbots.
What I Do Best:
Generative AI & Chatbots: I have successfully developed and deployed intelligent buying guide chatbots using Generative AI, Large Language Models (LLMs), and vector databases. My solutions have enhanced customer support and product recommendations for leading e-commerce platforms.
Machine Learning & Data Science: With extensive experience in Python and frameworks such as Scikit-learn, PyTorch, and TensorFlow, I build robust machine learning models tailored to specific business needs. My work includes developing personalized recommendation models and implementing Retriever-Augmented Generation (RAG) for content generation.
Cloud Solutions: Proficient in major cloud platforms including Azure ML Services, I design and optimize AI models for scalable and efficient deployment. My solutions have significantly reduced processing time and improved model uptime through real-time monitoring.
Technical Leadership: I lead and mentor teams, ensuring effective collaboration and project management. My experience includes automating processes to reduce manual tasks and enhance operational efficiency.
Why Work With Me:
Expertise: Proven track record in delivering high-quality AI/ML solutions.
Innovation: Passionate about leveraging the latest technologies to drive business value.
Reliability: Committed to meeting deadlines and exceeding client expectations.
Collaboration: Strong communication skills and ability to work effectively with cross-functional teams.
I am excited to bring my skills and experience to your projects and help you achieve your goals. Let’s connect and explore how I can contribute to your success!
Steps for completing your project
After purchasing the project, send requirements so Mahmood Zayeem can start the project.
Delivery time starts when Mahmood Zayeem receives requirements from you.
Mahmood Zayeem works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Consultation & Requirement Gathering
Review the provided datasets, queries, and visualization preferences. Discuss specific project goals, user roles, and any integration needs. Establish the project timeline and key milestones.
Data Analysis & Schema Design
Analyze the datasets to understand the structure and key metrics. Design the data schema and ensure it aligns with the project’s analytical goals.