Research & Consulting Hub

Exploring the intersection of Artificial Intelligence, Data Science, Environmental Analytics, Forecasting, Generative AI, and Enterprise Solutions. Follow our ongoing research initiatives, consulting projects, methodologies, technical insights, and publication opportunities.

Explore Projects Collaborate

12+

Research Publications

19+

Years Experience

25+

AI Projects Delivered

100+

Students Mentored

Current Research Projects

Active research initiatives and consulting engagements.

Krishna River Water Quality

AI-driven assessment and forecasting of river ecosystem health using WQI and deep learning.

Attention-Based Forecasting

Exploring Transformers and Attention-LSTM models for environmental forecasting.

Enterprise AI Solutions

Generative AI, RAG systems, AI Agents, and intelligent automation.

Research Methodology

Phase 1 — Data Acquisition

Collection, validation and preprocessing of environmental datasets.

Phase 2 — Exploratory Analysis

Trend analysis, seasonal decomposition, correlation studies and quality assessment.

Phase 3 — Time Series Diagnostics

ADF, ACF, PACF, stationarity and feature engineering.

Phase 4 — Forecasting Models

ARIMA, SARIMA, LSTM, Attention-LSTM and Transformer architectures.

Phase 5 — Publication

Validation, manuscript preparation and journal submission.

Models & Technologies

ARIMA SARIMA LSTM Attention-LSTM Transformers Python TensorFlow PyTorch Generative AI RAG Systems

Current Progress

Data Collection & Validation
Exploratory Data Analysis
Forecasting Model Development

Research Updates

July 2026

Project Kickoff

Dataset acquisition and environmental parameter assessment completed.

August 2026

Time Series Analysis

Trend analysis, stationarity testing and seasonal decomposition underway.

September 2026

Attention Models

Designing neural architectures for forecasting experiments.

Research Collaboration

Join our research and consulting initiatives.