BRAIN's Foundational AI Blueprint

Our approach to Artificial General Intelligence (AGI) development integrates cognitive frameworks inspired by Indian philosophical traditions with state-of-the-art computational models. This blueprint represents our unique cognitive architecture that enables systems to learn, adapt, and reason across diverse domains.

BRAIN's Foundational AI Blueprint Diagram
Our cognitive architecture integrates Perception, Episodic Memory, Hierarchical Bayesian Program Learning, and multiple control systems to create flexible and robust AI systems.

Memory-Based Learning

Our systems leverage episodic memory for efficient learning from limited examples, enabling rapid adaptation to new situations based on past experiences.

Hierarchical Reasoning

We employ hierarchical Bayesian program learning to build compositional models that can understand and generate complex structures from simple components.

Ethical Decision Making

Our architecture incorporates value-aligned decision processes guided by Indian philosophical frameworks to ensure responsible and culturally sensitive AI.

Explore Our AI Blueprint

Our Focus Areas

Healthcare Icon

AI for Healthcare

Developing accessible AI diagnostic tools and telemedicine solutions to bridge healthcare gaps in rural India, with focus on affordability and local language support.

View Healthcare Projects
Agriculture Icon

AgriTech Solutions

Creating AI-powered crop analysis, weather prediction, and resource optimization tools to enhance agricultural productivity and sustainability.

View Agriculture Projects
Education Icon

Education AI

Developing adaptive educational platforms that customize learning experiences based on individual student needs, learning styles, and progress.

View Education Projects
Ethics Icon

Ethical AI Frameworks

Researching frameworks for aligning AI systems with Indian cultural values, ethical principles, and social norms to ensure responsible AI development.

View Ethics Projects
NLP Icon

Natural Language Processing

Building language models and translation systems that support Indian languages and dialects, preserving linguistic diversity while enabling digital inclusion.

View NLP Projects

BRAIN's 100 Grand Challenges in AI

We've identified 100 critical AI challenges across 10 domains that will define India's technological future. Our research is guided by these ambitious goals that combine technical innovation with cultural relevance.

Foundational AI Challenges (प्रज्ञा - Prajna)

Language & Communication

  • Challenge 1: Create a universal Indian language translation system covering all 22 official languages
  • Challenge 2: Develop AI that understands and generates context-aware regional idioms and expressions
  • Challenge 3: Build real-time speech-to-speech translation for Indian languages
  • Challenge 4: Create AI that understands cultural nuances in communication
  • Challenge 5: Develop natural language processing for ancient Indian texts

Cognitive Systems

  • Challenge 6: Build AI systems inspired by Indian philosophical frameworks of consciousness
  • Challenge 7: Develop computational models for ethical reasoning based on dharmic principles
  • Challenge 8: Create AI with human-like memory consolidation and recall
  • Challenge 9: Build systems for emotional intelligence in Indian cultural contexts
  • Challenge 10: Develop AI for understanding and generating classical Indian arts

Healthcare Challenges (आरोग्य - Arogya)

Preventive Healthcare

  • Challenge 11: Create early disease detection systems using minimal data
  • Challenge 12: Develop personalized health monitoring for diverse populations
  • Challenge 13: Build predictive models for epidemic outbreaks in Indian context
  • Challenge 14: Create AI-driven nutrition planning based on local food habits
  • Challenge 15: Develop mental health assessment tools for diverse cultural contexts

Traditional Medicine Integration

  • Challenge 16: Build AI systems to validate Ayurvedic treatments
  • Challenge 17: Create computational models for traditional diagnosis methods
  • Challenge 18: Develop AI for personalized traditional medicine recommendations
  • Challenge 19: Build systems to integrate modern and traditional healthcare
  • Challenge 20: Create AI for documenting and preserving traditional medical knowledge

Agriculture Challenges (कृषि - Krishi)

Sustainable Farming

  • Challenge 21: Develop AI for precision farming in small holdings
  • Challenge 22: Create crop prediction models for diverse agro-climatic zones
  • Challenge 23: Build systems for optimal resource utilization in farming
  • Challenge 24: Develop AI for organic farming practices
  • Challenge 25: Create models for climate-resilient agriculture

Agricultural Supply Chain

  • Challenge 26: Build AI for optimizing farm-to-market logistics
  • Challenge 27: Create fair price prediction models for farmers
  • Challenge 28: Develop systems for reducing post-harvest losses
  • Challenge 29: Build AI for quality assessment of agricultural produce
  • Challenge 30: Create blockchain-based supply chain transparency systems

Education Challenges (विद्या - Vidya)

Personalized Learning

  • Challenge 31: Create adaptive learning systems for diverse learning styles
  • Challenge 32: Develop AI for personalized assessment and feedback
  • Challenge 33: Build systems for skill gap analysis and recommendations
  • Challenge 34: Create AI tutors that understand regional teaching methods
  • Challenge 35: Develop platforms for vernacular education delivery

Skill Development

  • Challenge 36: Build AI for vocational training and assessment
  • Challenge 37: Create job-skill matching systems for rural youth
  • Challenge 38: Develop AI for traditional crafts preservation and teaching
  • Challenge 39: Create systems for practical skill evaluation
  • Challenge 40: Build AI for entrepreneurship development

Environmental Sustainability Challenges (पर्यावरण - Paryavaran)

Climate Action

  • Challenge 41: Develop local climate impact prediction models
  • Challenge 42: Create AI for renewable energy optimization
  • Challenge 43: Build systems for urban pollution management
  • Challenge 44: Develop models for biodiversity conservation
  • Challenge 45: Create AI for disaster prediction and management

Resource Management

  • Challenge 46: Build AI for water resource optimization
  • Challenge 47: Create smart waste management systems
  • Challenge 48: Develop energy consumption optimization models
  • Challenge 49: Build AI for forest conservation
  • Challenge 50: Create systems for sustainable urban planning

Financial Inclusion Challenges (वित्त - Vitta)

Digital Finance

  • Challenge 51: Create AI for rural credit assessment
  • Challenge 52: Develop fraud detection for rural banking
  • Challenge 53: Build vernacular financial advisory systems
  • Challenge 54: Create AI for financial literacy education
  • Challenge 55: Develop inclusive insurance models

Economic Development

  • Challenge 56: Build AI for local market development
  • Challenge 57: Create systems for skill-based job matching
  • Challenge 58: Develop models for rural entrepreneurship support
  • Challenge 59: Build AI for handicraft value chain optimization
  • Challenge 60: Create platforms for rural-urban market linkages

Smart Infrastructure Challenges (निर्माण - Nirman)

Urban Planning

  • Challenge 61: Develop AI for sustainable city planning
  • Challenge 62: Create traffic optimization systems
  • Challenge 63: Build smart energy distribution networks
  • Challenge 64: Develop waste management optimization
  • Challenge 65: Create urban safety monitoring systems

Rural Development

  • Challenge 66: Build AI for rural infrastructure planning
  • Challenge 67: Create systems for village resource optimization
  • Challenge 68: Develop models for rural connectivity
  • Challenge 69: Build AI for rural energy management
  • Challenge 70: Create digital service delivery platforms

Cultural Preservation Challenges (संस्कृति - Sanskriti)

Heritage Documentation

  • Challenge 71: Create AI for ancient text preservation
  • Challenge 72: Develop systems for art form documentation
  • Challenge 73: Build models for architectural heritage preservation
  • Challenge 74: Create AI for traditional knowledge systems
  • Challenge 75: Develop platforms for cultural experience sharing

Art and Creativity

  • Challenge 76: Build AI for classical music analysis and generation
  • Challenge 77: Create systems for dance movement analysis
  • Challenge 78: Develop AI for traditional art style transfer
  • Challenge 79: Build models for textile design preservation
  • Challenge 80: Create AI for traditional storytelling

Social Development Challenges (समाज - Samaj)

Community Empowerment

  • Challenge 81: Develop AI for community resource management
  • Challenge 82: Create systems for social service delivery
  • Challenge 83: Build platforms for community knowledge sharing
  • Challenge 84: Develop models for social impact assessment
  • Challenge 85: Create AI for community decision support

Governance

  • Challenge 86: Build AI for public service delivery
  • Challenge 87: Create systems for policy impact assessment
  • Challenge 88: Develop models for governance transparency
  • Challenge 89: Build AI for citizen engagement
  • Challenge 90: Create platforms for participatory planning

Future Technologies Challenges (भविष्य - Bhavishya)

Quantum AI

  • Challenge 91: Develop quantum-classical hybrid algorithms
  • Challenge 92: Create quantum-inspired optimization models
  • Challenge 93: Build quantum machine learning systems
  • Challenge 94: Develop quantum-safe AI security
  • Challenge 95: Create quantum-enabled drug discovery systems

Edge Computing

  • Challenge 96: Build AI for low-resource devices
  • Challenge 97: Create distributed learning systems
  • Challenge 98: Develop edge-cloud hybrid architectures
  • Challenge 99: Build AI for IoT optimization
  • Challenge 100: Create energy-efficient AI systems

Our Research Projects

Dermatoglyphic Pattern Analysis
Ongoing
Biometrics / Healthcare / AI

Topological Analysis of Dermatoglyphic Patterns using Synthetic and Real Data

2025 research using topological analysis on fingerprint patterns, potentially for medical applications.

Authors: Prasad D. Devkar, Nalini Ajwani, Sudarshan Malla, Aasttha Bhatt, Mahiman Dave, Neha Sharma, Mrityunjoy Panday, Chittaranjan S Yajnik
Affiliations: K.J. Somaiya Institute of Technology, Mumbai; Bhilai Institute of Technology, Durg; Pragati Engineering College
View Publication
Fetal Birthweight Prediction
Ongoing
Healthcare / AI / Data Science

Predicting fetal birthweight from high dimensional data using advanced machine learning

2025 project applying advanced ML techniques to predict fetal birthweight from complex data.

Authors: Nachiket Kapure, Harsh Joshi, Rajeshwari Mistri, Parul Kumari, Manasi Mali, Seema Purohit, Neha Sharma, Mrityunjoy Panday, Chittaranjan S. Yajnik
Affiliations: B.K. Birla College of Arts, Science and Commerce, Kalyan; IIT Bombay; KET's V.G. Vaze College, Mumbai
View Preprint (arXiv)
Water Quality Prediction
Ongoing
Agriculture / Environment / Data Science / AI

Agricultural Indicators as Predictors of Annual Water Quality: An Analysis of Interconnectedness and Prediction Using Machine Learning

2024 research analyzing how agricultural factors predict water quality using ML.

Authors: Lukas Maier, Sebastian Hoch, Stefan Hutter, Neha Sharma, Jürgen Seitz
Affiliation: Duale Hochschule Baden-Württemberg, Germany
View Publication
Missing Data Imputation
Ongoing
Healthcare / Data Science

Handling Missing Data in Longitudinal Anthropometric Data Using Multiple Imputation Method

2024 study on using multiple imputation techniques for missing healthcare data.

Authors: Dhruv Varma, Chittaranjan S. Yajnik, Aboli Thorave, Neha Sharma
Affiliations: Dwarkadas J. Sanghvi College of Engineering, Mumbai; KEM Hospital Research Centre, Pune
View Publication
Land Use Analysis
Ongoing
Agriculture / Data Science / Statistics / AI

Analyzing UNO Statistics on Land Use of Agricultural Practices by Using k-Means Clustering and SARIMA

2024 analysis of UN agricultural land use data using clustering and time series forecasting.

Authors: Moritz Wüst, Rik Hopfensitz, Neha Sharma, Jürgen Seitz
Affiliation: Duale Hochschule Baden-Württemberg, Germany
View Publication
LSTM-XGBoost SST Prediction
Ongoing
Oceanography / AI / Data Science

Harnessing the Power of LSTM-XGBoost Ensemble Model for Prediction of Sea Surface Temperature Anomalies in the Indian Ocean

2024 research using an LSTM-XGBoost ensemble model to predict sea surface temperature anomalies.

Authors: Kunal Chakraborty, Biswaraj Choudhury, Intekab Alom, Sanjit Das, Manash Handique, Neha Sharma
Affiliation: Assam University, Silchar
View Publication
Automated Answer Evaluation
Ongoing
Education / AI / NLP / Data Science

Revolutionizing the Future of Automated Subjective Answer Sheet Evaluation System with Machine Learning and LLMs

2024 research exploring ML and LLMs for automated evaluation of subjective answers.

Authors: Balla Aarathisree, Sujit Sarkar, Bhanu Durgesh Dammala, Mrityunjoy Panday, Neha Sharma
Affiliations: Pragati Engineering College, Surampalem; Army Institute of Technology, Pune
View Publication
Handwritten Feedback Analysis
Ongoing
Data Science / OCR / NLP

Extracting Valuable Insights from The Handwritten Feedback

2024 project focused on extracting insights from handwritten feedback forms using data science.

Authors: Yugandhar Chawale, Prasanna Patwardhan, Rahul Dewani, Ankit More, Vaishnavi Jadhav, Mrityunjoy Panday, Neha Sharma
Affiliations: Vishwakarma Institute of Information Technology, Pune; Army Institute of Technology, Pune
View Publication
Renewable Energy Growth EU
Completed
Climate / Energy / Data Science / Statistics / AI

Prediction of the Growth of Renewable Energies in the European Union using Time Series Analysis

2023 study forecasting renewable energy growth trends in the EU using time series models.

Authors: Holger Kraenzle, Maximilian Rampp, Daniel Werner, Jürgen Seitz, Neha Sharma
Affiliation: Duale Hochschule Baden-Württemberg, Germany
View Publication
Economic Growth Prediction
Completed
Finance / Economics / Data Science / Statistics / AI

Economic Growth Prediction and Performance Analysis of Developed and Developing Countries Using ARIMA, PCA, and k-Means Clustering

2023 comparative economic analysis using ARIMA, PCA, and k-Means to predict growth.

Authors: Stefan Hutter, Noah Winkler, Neha Sharma, Jürgen Seitz
Affiliation: Duale Hochschule Baden-Württemberg, Germany
View Publication
Sea Surface Temperature
Completed
Oceanography / AI / Data Science

Study of Sea Surface Temperature Prediction and Oceanographic Exploration Using Deep Learning

2023 research exploring the use of deep learning for predicting sea surface temperatures.

Authors: Biswaraj Choudhury, Kunal Chakraborty, U Poirainganba Singha, Debojyoti Kuri, Manash Handique, Neha Sharma
Affiliation: Assam University, Silchar
View Publication
Empath.ai Chatbot
Completed
NLP / AI / Healthcare

Empath.ai: a Context-Aware Chatbot for Emotional Detection and Support

2023 development of a chatbot using AI for emotional detection and providing support.

Authors: Neave P. Kallivalappil, Kevin D'souza, Atharva Deshmukh, Chris Kadam, Neha Sharma
Affiliation: Fr. Conceicao Rodrigues College of Engineering, Mumbai
View Publication
CO2 Emissions Prediction
Completed
Climate / AI / Data Science

Predicting CO2 Emissions by Vehicles Using Machine Learning

2022 project applying machine learning models to forecast CO2 emissions from vehicles.

Authors: Akalbir Singh Chadha, Yashowardhan Shinde, Neha Sharma, Prithwis K. De
Affiliations: International Institute of Information Technology, Pune; National Institute of Technology, Raipur
View Publication
Energy Sector Impact
Completed
Climate / Energy / Data Science / AI

Impact of Energy Sector on Climate Change in India Using Forecasting Models

2022 study forecasting the impact of India's energy sector on climate change.

Authors: Aryam Sood, Hiteshi Oza, Neha Sharma, Prithwis K. De
Affiliation: Symbiosis Statistical Institute, Pune
View Publication
Carbon Emissions Calculator
Completed
Climate / Software

Real Time Carbon Emissions Calculator for Personal Computers

2022 development of a tool to calculate real-time carbon emissions from PC usage.

Authors: Sarthak Khandelwal, Neha Sharma, Prithwis K. De
Affiliation: Medi-Caps University, Indore
View Publication
Household Energy Emissions
Completed
Data Science / Energy / Climate / Statistics / AI

Application of k-Means Method for Finding Varying Groups of Primary Energy Household Emissions in the Indian States

2022 analysis using k-Means clustering to group Indian states based on household energy emissions.

Authors: Tanmay Belsare, Abhay Deshpande, Neha Sharma, Prithwis De
Affiliation: Symbiosis Statistical Institute, Pune
View Publication
Agriculture Emissions Forecasting
Completed
Agriculture / Climate / Data Science / Statistics / AI

Univariate Time Series Forecasting of Indian Agriculture Emissions

2022 project forecasting greenhouse gas emissions from Indian agriculture using time series analysis.

Authors: Abhay Deshpande, Tanmay Belsare, Neha Sharma, Prithwis De
Affiliation: Symbiosis Statistical Institute, Pune
View Publication
Fossil Fuel Investments
Completed
Climate / Finance / Data Science / Statistics

Multivariate Regression Analysis of Investments by Banks in Fossil Fuel Sectors to Predict Climate Change Consequences

2021 analysis linking financial investments in fossil fuels to potential climate change outcomes using regression.

Authors: Khaleel Ur Rehman Khan, Gokul Hiralal Bisen, Prithwis K. De, Neha Sharma
Affiliation: Visvesvaraya National Institute of Technology, Nagpur
View Publication
COVID-19 Resource Analysis
Completed
Healthcare / Data Science / AI

Analyzing the Supply of Healthcare Human Resource and Infrastructure of India to Handle COVID-19 Cases and Building a Prediction Model

2020 project analyzing India's healthcare capacity during COVID-19 using predictive modeling.

Authors: Atreyee Saha, Arjun Ghose, Aman Pande, Vineet Tambe, Neha Sharma
Affiliations: Symbiosis Statistical Institute, Pune; Pune Institute of Computer Technology
View Publication
Supply Chain Management
Completed
Supply Chain / Logistics

Supply Chain Management During the Time of Pandemic

2020 research analyzing supply chain challenges and optimizations during the COVID-19 pandemic.

Authors: Vaishnavi Nair, Shreyas Joshi, Manoj Patil, Neha Sharma
Affiliations: P. E. S. Modern College of Engineering, Pune; Symbiosis Statistical Institute, Pune; Pune Institute of Computer Technology
View Publication
Green Cover and Air Pollution
Completed
Climate / Environment / Data Science

Exploring the Correlation Between Green Cover and Air Pollution by Data Democratization: A Case Study

2020 study using data analysis to investigate the link between green cover and air pollution levels.

Authors: Arpan Sil, Mishita Sharma, Monisha Jhamb, Aboli Marathe, Neha Sharma
Affiliations: Symbiosis Statistical Institute, Pune; Pune Institute of Computer Technology
View Publication
Stock Market Prediction
Completed
Finance / NLP / AI

Prediction of Stock Market Performance Based on Financial News Articles and Their Classification

2019 project using NLP to predict stock market trends from financial news.

Authors: Matthias Eck, Julian Germani, Neha Sharma, Jürgen Seitz, Prasad P. Ramdasi
Affiliation: Duale Hochschule Baden-Württemberg, Germany
View Publication

Publications & Resources

Paper Icon

Topological Analysis of Dermatoglyphic Patterns using Synthetic and Real Data

Devkar, P. D., Ajwani, N., Malla, S., Bhatt, A., Dave, M., Sharma, N., Panday, M., Yajnik, C. S.

Proceedings of the 26th International Conference on Distributed Computing and Networking (ICDCN '25), 2025

Paper Icon

Predicting fetal birthweight from high dimensional data using advanced machine learning

Kapure, N., Joshi, H., Mistri, R., Kumari, P., Mali, M., Purohit, S., Sharma, N., Panday, M., Yajnik, C. S.

Preprint - arXiv:2502.14270 [cs.LG], 2025

Paper Icon

Agricultural Indicators as Predictors of Annual Water Quality: An Analysis of Interconnectedness and Prediction Using Machine Learning

Maier, L., Hoch, S., Hutter, S., Sharma, N., Seitz, J.

Data Management, Analytics and Innovation (ICDMAI 2024). LNNS, vol 997. Springer, 2024

Paper Icon

Handling Missing Data in Longitudinal Anthropometric Data Using Multiple Imputation Method

Varma, D., Yajnik, C.S., Thorave, A., Sharma, N.

Data Management, Analytics and Innovation (ICDMAI 2024). LNNS, vol 997. Springer, 2024

Paper Icon

Analyzing UNO Statistics on Land Use of Agricultural Practices by Using k-Means Clustering and SARIMA

Wüst, M., Hopfensitz, R., Sharma, N., Seitz, J.

Data Management, Analytics and Innovation (ICDMAI 2024). LNNS, vol 997. Springer, 2024

Paper Icon

Harnessing the Power of LSTM-XGBoost Ensemble Model for Prediction of Sea Surface Temperature Anomalies in the Indian Ocean

Chakraborty, K., Choudhury, B., Alom, I., Das, S., Handique, M., Sharma, N.

Data Management, Analytics and Innovation (ICDMAI 2024). LNNS, vol 997. Springer, 2024

Paper Icon

Towards Mitigating Misinformation: A Structured Dataset of Fact-Checked Claims from News Media

Bhanushali, O., Mer, A., Giridhar, R., Somaiya, B., Manasia, A., Singh, S., Sharma, N., Panday, M., Nemade, M., Shah, S., Mani, G.S.

IEEE Region 10 Symposium (TENSYMP), 2024

Paper Icon

Revolutionizing the Future of Automated Subjective Answer Sheet Evaluation System with Machine Learning and LLMs

Aarathisree, B., Sarkar, S., Dammala, B. D., Panday, M., Sharma, N.

IEEE Pune Section International Conference (PuneCon), 2024

Paper Icon

Extracting Valuable Insights from The Handwritten Feedback

Chawale, Y., Prasanna, P., Dewani, R., More, A., Jadhav, V., Panday, M., Sharma, N.

IEEE Pune Section International Conference (PuneCon), 2024

Paper Icon

Prediction of the Growth of Renewable Energies in the European Union using Time Series Analysis

Kraenzle, H., Rampp, M., Werner, D., Seitz, J., Sharma, N.

WSEAS TRANSACTIONS on COMPUTERS, vol 22, 2023

Paper Icon

Economic Growth Prediction and Performance Analysis of Developed and Developing Countries Using ARIMA, PCA, and k-Means Clustering

Hutter, S., Winkler, N., Sharma, N., Seitz, J.

WSEAS TRANSACTIONS on COMPUTERS, vol 22, 2023

Paper Icon

Study of Sea Surface Temperature Prediction and Oceanographic Exploration Using Deep Learning

Choudhury, B., Chakraborty, K., Singha, U. P., Kuri, D., Handique, M., Sharma, N.

IEEE Region 10 Conference (TENCON), 2023

Paper Icon

Empath.ai: a Context-Aware Chatbot for Emotional Detection and Support

Kallivalappil, N. P., D'souza, K., Deshmukh, A., Kadam, C., Sharma, N.

14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023

Paper Icon

Predicting CO2 Emissions by Vehicles Using Machine Learning

Chadha, A.S., Shinde, Y., Sharma, N., De, P.K.

Data Management, Analytics and Innovation (ICDMAI 2022). LNDECT, vol 137. Springer, 2023

Paper Icon

Impact of Energy Sector on Climate Change in India Using Forecasting Models

Sood, A., Oza, H., Sharma, N., De, P.K.

Data Management, Analytics and Innovation (ICDMAI 2022). LNDECT, vol 137. Springer, 2023

Paper Icon

Real Time Carbon Emissions Calculator for Personal Computers

Khandelwal, S., Sharma, N., De, P.K.

Data Management, Analytics and Innovation (ICDMAI 2022). LNDECT, vol 137. Springer, 2023

Paper Icon

Application of k-Means Method for Finding Varying Groups of Primary Energy Household Emissions in the Indian States

Belsare, T., Deshpande, A., Sharma, N., De, P.

Optimization Techniques in Engineering. Wiley, 2023

Paper Icon

Univariate Time Series Forecasting of Indian Agriculture Emissions

Deshpande, A., Belsare, T., Sharma, N., De, P.

Advances in Computing and Data Sciences (ICACDS 2022). CCIS, vol 1614. Springer, 2023

Paper Icon

Analyzing the Supply of Healthcare Human Resource and Infrastructure of India to Handle COVID-19 Cases and Building a Prediction Model

Saha, A., Ghose, A., Pande, A., Tambe, V., Sharma, N.

Data Management, Analytics and Innovation (ICDMAI 2021). LNDECT, vol 70. Springer, 2021

Paper Icon

Exploring the Correlation Between Green Cover and Air Pollution by Data Democratization: A Case Study

Sil, A., Sharma, M., Jhamb, M., Marathe, A., Sharma, N.

Data Management, Analytics and Innovation (ICDMAI 2021). LNDECT, vol 70. Springer, 2021

Paper Icon

Supply Chain Management During the Time of Pandemic

Nair, V., Joshi, S., Patil, M., Sharma, N.

Data Management, Analytics and Innovation (ICDMAI 2021). LNDECT, vol 70. Springer, 2021

Paper Icon

Multivariate Regression Analysis of Investments by Banks in Fossil Fuel Sectors to Predict Climate Change Consequences

Khan, K. U. R., Bisen, G. H., De, P. K., Sharma, N.

IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET), 2021

Paper Icon

Prediction of Stock Market Performance Based on Financial News Articles and Their Classification

Eck, M., Germani, J., Sharma, N., Seitz, J., Ramdasi, P.P.

Data Management, Analytics and Innovation (ICDMAI 2020). AISC, vol 1175. Springer, 2020

Book Icon

Towards Net-Zero Targets: Usage of Data Science for Long-Term Sustainability Pathways

Sharma, N., De, P.K. (Eds.)

Advances in Sustainability Science and Technology. Springer, Singapore, 2023

Book Icon

Open Data for Sustainable Community

Sharma N., Ghosh S., Saha M. (Eds.)

Advances in Sustainability Science and Technology. Springer, Singapore, 2021

Whitepaper Icon

AI for Sustainable Agriculture in India (Example)

BRAIN AgriTech Research Group

BRAIN White Paper, 2025

Whitepaper Icon

Ethical LLMs for Indian Languages (Example)

BRAIN Ethics & NLP Teams

BRAIN Policy Brief, 2025

Dataset Icon

BRAIN-IndicFact Corpus (Example)

Compiled by BRAIN Data Science Team

Dataset Release v1.0, 2025. 5k+ fact-checked claims.

Dataset Icon

Indian Crop Health Image Dataset (Example)

Curated by BRAIN AgriTech Team

Ongoing Collection (2024-2025). 15,000+ images.

Presentation Icon

Culturally Aligned AGI: Anvikshiki Approach (Example)

Dr. Seema Purohit

National AI Conclave Keynote, 2025

Presentation Icon

AI for Precision Agriculture in Small Farms (Example)

Mrityunjoy Panday

AgriTech India Summit, 2025

BRAIN Journal - Anvikshiki

Communications in AI Research

Anvikshiki (आन्वीक्षिकी) - The Science of Inquiry - is BRAIN's peer-reviewed journal dedicated to advancing AI research with an Indian perspective. Our journal serves as a platform for original research, reviews, and commentaries in artificial intelligence and related fields.

Etymology of Anvikshiki

In ancient Indian tradition, Anvikshiki refers to systematic investigation, critical examination, logical reasoning, and philosophical inquiry. Described by Kautilya as the "lamp of all sciences," it uses reason to illuminate and evaluate all other fields of knowledge.

Focus Areas

  • AGI
  • Cultural AI Alignment
  • AI for Healthcare, Agriculture, Education
  • Indian Language NLP
  • Ethical AI Frameworks

Editorial Leadership

Editor-in-Chief: Dr. Seema Purohit

Managing Editor: Dr. Neha Sharma

Supported by an international editorial board.

Our Research Partners

We collaborate with leading institutions and organizations to advance AI research with an Indian perspective.

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Join our collaborative network to advance AI research and innovation in India.

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