You will get AI-Driven Real-Time Data Analytics and Dashboard Development
Project details
AI-Driven Real-Time Analytics Platform Development
We will build a fully optimized AI-powered Real-Time Analytics system that processes live data streams, detects anomalies, generates insights instantly, and provides dashboards for decision-making.
This service is perfect for businesses who want to monitor operations, financial transactions, customer behavior, security events, IoT devices, or application performance in real-time.
our platform may include:
✔ Real-time data ingestion (Kafka, Kinesis, Pub/Sub)
✔ AI/ML analytics (Anomaly detection, forecasting, predictions)
✔ Stream processing (Flink, Spark Streaming, Node/Python pipelines)
✔ Real-time dashboards (Grafana / Superset / custom UI)
✔ Alerts & notifications (Email, SMS, Slack, WhatsApp)
✔ End-to-end cloud deployment (AWS, Azure, GCP)
✔ Role-based access, authentication, audit logs
We will build a fully optimized AI-powered Real-Time Analytics system that processes live data streams, detects anomalies, generates insights instantly, and provides dashboards for decision-making.
This service is perfect for businesses who want to monitor operations, financial transactions, customer behavior, security events, IoT devices, or application performance in real-time.
our platform may include:
✔ Real-time data ingestion (Kafka, Kinesis, Pub/Sub)
✔ AI/ML analytics (Anomaly detection, forecasting, predictions)
✔ Stream processing (Flink, Spark Streaming, Node/Python pipelines)
✔ Real-time dashboards (Grafana / Superset / custom UI)
✔ Alerts & notifications (Email, SMS, Slack, WhatsApp)
✔ End-to-end cloud deployment (AWS, Azure, GCP)
✔ Role-based access, authentication, audit logs
Machine Learning Tools
AnyLogic, Apache Spark, Apache Spark MLlib, Azure Machine Learning, BigDL, GPT-3, Microsoft Power BI, NumPy, Open Neural Network Exchange, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, Tableau, TensorFlow, Tesseract OCR, Vertex AIWhat's included
| Service Tiers |
Starter
$1,199
|
Standard
$2,299
|
Advanced
$4,999
|
|---|---|---|---|
| Delivery Time | 3 days | 10 days | 21 days |
Number of Revisions | 0 | 2 | Unlimited |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 5 |
Number of Graphs/Charts | 2 | 5 | 9 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$299 - $899Frequently asked questions
About Anup
IT services with end to end software development
Mumbai, India - 2:24 am local time
As a Full-Stack Developer specializing in FinTech platforms, I design and deliver end-to-end IT and SaaS solutions that power secure, scalable, and high-performance financial applications. My expertise spans both frontend and backend development, with strong domain knowledge in cryptocurrency systems and stock trading platforms.
Core Expertise:
SaaS Platforms (FinTech-focused):
Design and build scalable SaaS applications for trading, payments, analytics, and financial operations, reducing infrastructure overhead while ensuring high availability and compliance.
Full-Stack Development:
Hands-on experience with modern frontend frameworks and robust backend services to build responsive, secure, and data-driven financial applications.
DevOps & Cloud Engineering:
Implement CI/CD pipelines, containerization, and cloud-native architectures to enable faster releases, system resilience, and production-grade scalability.
AI Bots & Automation:
Develop intelligent bots for trade alerts, customer support, risk analysis, and workflow automation, enhancing operational efficiency and user engagement.
Crypto & Stock Trading Systems:
Experience with market data integration, trading workflows, order management, indicators, and security best practices for both crypto and equity markets.
I focus on building secure, compliant, and performance-optimized financial systems that support real-time data processing, high transaction volumes, and seamless user experiences.
Steps for completing your project
After purchasing the project, send requirements so Anup can start the project.
Delivery time starts when Anup receives requirements from you.
Anup works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering & Analysis
Client shares requirements, sample data, and preferred tech stack. We will review the scope and confirm the architecture.
Real-Time Architecture Design
We will design a scalable real-time processing pipeline including: Stream ingestion (Kafka/Kinesis/PubSub) Stream processing (Flink/Spark/Custom engine) AI/ML prediction services Dashboard & alerting flow Data storage & security controls