MindforgeAI
Applied AI/ML learning, student project systems and the public project archive.
Visit MindforgeAI ↗Company portfolio · 2026
Chatake Innoworks Private Limited
Where learning
becomes visible work.
We bring applied AI, research, software engineering and technical education into the same working practice—so learners can move from fundamentals to systems they can explain, test and show.
Applied learning studio
01
DPIIT-recognised startup
Building a connected practice across research, product systems and technical education.
01 / Our practice
Applied work, not just exposure
Technology is most useful when it gives people a way to make, test and communicate something real.
Chatake Innoworks is a DPIIT-recognised technology and applied-research company. Its work is organised through distinct operating divisions, while a shared method holds them together: learn deeply, build in teams, document evidence, publish usable records and mature selected work into products or institutional programmes.
CodeSmith
Product engineering, software systems and technical implementation practice.
Company practice ↗GreenWorks
Systems and technology inquiry around energy, sustainability and field application.
Explore GFIS ↗EduSphere
Structured learning pathways, mentorship and education programmes.
Internship programme ↗
02 / Student pathways
From study to public evidence
Students do not need another certificate-only experience.
They need a demanding, well-scaffolded route into contemporary work: reasoning with data, engineering systems, collaborating in teams and presenting an honest record of what has been made.
- 01FoundationsAI/ML, data, Python, research habits and technical communication.
- 02Build in teamsMentored problem work, reviews, demonstrations and documented decisions.
- 03Publish evidenceProject records, portfolios, prototypes and appropriate public-facing artefacts.
- 04Move forwardClearer readiness for internships, higher studies, products and research collaborations.
03 / Current 12-week coverage
What the present cohort has covered
The twelve AI/ML blocks taught to the current cohort.
Across the current 12-week learning cycle, degree and diploma learners have worked through this sequence: computational discipline and Python, data and statistics, machine learning, deep learning, computer vision, NLP and generative AI, responsible AI, MLOps and cloud foundations, then a focused specialisation and reviewed capstone.
01Computational thinking02Python foundations03Data science04Statistical intuition
05Machine-learning pipelines06Neural networks & deep learning07Computer vision08NLP & generative AI
09Responsible AI & reproducibility10MLOps, APIs, Docker & cloud11Specialisation sprint12Capstone & professional defence
04 / Learning programmes
Long enough to build
something substantial.
The 100-day MindforgeAI AI/ML Internship 1.0 is designed for degree and diploma learners who are ready to connect AI/ML study with guided project practice. The present cohort brings together 50 learners in an ongoing learning and build cycle.
MindforgeAIInternship 1.0
100 days of guided AI/ML practice.
The 12 covered blocks move from Python, data and statistical thinking into machine learning, deep learning, computer vision, NLP and generative AI, responsible AI, MLOps, cloud, specialisation and capstone defence. A project-coordination layer, led by Vijayalaxmi Sundalam with student coordinators Laiba Mulani, Sunaina Gaikwad and Aashna Shaikh, supports review rhythms, documentation and team continuity across 13 project records. The outcome is evidence of learning—not a promise of placement.
05 / Research & publishing ecosystem
Properties with different responsibilities
Research needs places to be developed, published and discussed.
Chatake Innoworks does not treat institutional research, journal publishing and technical publication as a single undifferentiated claim. CIAT, IJAIE and Innoworks Press are distinct public properties with complementary roles.
CIAT Research Institute
CIAT is the proposed institutional platform for rigorous technical learning, applied research, publishing and product practice. It is the long-term expansion vision—not a claim that every future institutional capability already exists.
Visit CIAT ↗IJAIE
A public journal environment for applied intelligence and engineering conversations across AI, technology, agriculture, education, robotics, materials, environment and responsible research.
Visit IJAIE ↗Innoworks Press
The company publishing imprint for technical books, learning libraries, reports, proceedings and research communication—where teaching and engineering work can become durable public knowledge.
Visit Innoworks Press ↗
GFIS team receiving DIPEX first-prize recognition.
06 / GFIS research journey
Recognition, research and responsible IP
A first-prize project can become a longer research system.
GFIS — GreenFuel Intelligence System — received first-prize recognition at DIPEX during its early project journey. It now continues as a carefully bounded research demonstrator and digital-twin-ready decision-support direction for anaerobic digestion and bioenergy intelligence.
DIPEXFirst-prize recognition
IP recordGFIS copyright filing, LD-12628/2026-CO
Patent pathwayFuture work under assessment; no public claim of a granted or filed patent
07 / Learning in context
The people around the work
Serious technical learning gets stronger when students can meet the field.
Alongside structured teaching and project work, the MindforgeAI ecosystem brings students into conversation with academic leaders and founders. These moments help turn a syllabus into a more grounded understanding of work, responsibility and direction.
Workspace visit
Hon. Gajanan Dharane Sir at the MindforgeAI workspace.
A direct conversation with the cohort around the learning environment and student practice.
Industry visit · 11 June 2026
Bengaluru fintech founders at the Innovation Center.
Students met startup perspectives on engineering discipline, product thinking and applied technology careers.
Industry practice
An AI/ML practitioner in conversation with the cohort.
A working perspective on applying machine learning in the finance sector, shared directly with students.
08 / Leadership development
Coordination is part of the learning model
Students learn not only to build projects, but to coordinate serious work.
The current 13-project programme includes a deliberate coordination layer. Vijayalaxmi Sundalam serves as Project Coordinator, supporting project-group monitoring, enrolment review, title and abstract tracking, weekly progress, reporting and final-evaluation workflow. She works with student coordinators Laiba Mulani (Civil Engineering), Sunaina Gaikwad (Information Technology) and Aashna Shaikh (Computer Engineering), who help maintain task checkpoints, evidence completeness, team communication and review hand-offs.
13active project records held within one visible programme structure
01project coordinator supporting planning, review and team continuity
03student coordinators supporting their departments’ task and evidence checkpoints
09 / Project archive
Systems at different stages
Independent product tracks,
connected by a larger inquiry.
MindforgeAI’s public archive currently presents 13 engineering project records: ten independent product-track efforts and three interconnected Apollo Continuum systems. Each record states its scope and maturity honestly.
Product systems
Aureqis
Applied product record
Explore ↗
Research systems
GFIS
Energy intelligence enquiry
Explore ↗
Apollo Continuum
Apollo
Connected AI system inquiry
Explore ↗
13 project records
MindforgeAI archive
Browse the public portfolio
Open archive ↗
01Apollo AgriVerse - AgriIntelAgriTech02LearnSphere AIEdTech03Apollo AgriVerse - PashuSenseAgriTech04AetheraWater intelligence05GridMindEnergy06CardiOathAutomotive07FinGuard AIFinTech08Factoryflow AIManufacturing09DocuMind AIDocument AI10InfraSence AICivil & infrastructure11Apollo ARGUSRobotics & perception12Safecity AICybersecurity13Constructvision AICivil & construction
Browse all project records ↗
10 / Evidence & archive
Make the work legible
Good work should leave behind a record that people can inspect.
Research, publishing and institutional infrastructure are not decorative additions. They help give projects a history, set boundaries around claims and make collaboration more credible.
01Open PDF ↗
02Visit ↗
03Visit ↗
04Visit ↗
DPIIT recognition
Official recognition record for Chatake Innoworks Private Limited.
CIAT Research Institute
Institutional research and applied-technology practice.
Innoworks Press
Publishing relationships and public technical records.
IJAIE Journal
Journal and research-publication ecosystem.
11 / College partnerships
A practical conversation
Build a serious technical experience around your students.
We are open to thoughtful conversations with colleges and academic groups about AI/ML workshops, Future Tech Clubs, student mentoring, project review, faculty engagement, structured internships and applied research programmes.
Start a conversation ↗