★ IGNITING INNOVATORS FOR TOMORROW
Explore All 6 Workshops
IGNITING INNOVATORS FOR TOMORROW

THE NEURAL SQUARE

Culture of Building. Spirit of Innovation.
“We don't just teach technology. We build with it.

The Neural Square is an academic and technology initiative dedicated to fostering a build culture among science and engineering students. Our motive is to make innovation part of everyday culture—guiding learners beyond consuming technology into understanding it and building working systems themselves.

1. LEARN 2. BUILD 3. EXPERIMENT 4. CREATE
Academic Leadership:
Pushkaraj RodeM.Sc in Physics @ IIT Hyderabad Durgesh ThailM.Sc in Physics @ NIT Nagpur
LAB MODE: READY TO BUILD
Duration 5 Days · ~6 hours/day
Level Beginner → Intermediate
Approach 30–40% theory + 60–70% hands-on practice
Format Instructor-led + guided coding labs
Priority Program Catalog

Workshops We Conduct

Hands-on engineering cohorts engineered for students to build real working systems. Select any workshop below to inspect day-by-day curricula, prerequisites, and capstone milestones.

Browse Complete 6-Workshop Catalog with Detailed Syllabi & FAQs →
Recent Academic Milestone

Alumni - Student Interaction at R.Y.K. Science College

On 05 September 2026, The Neural Square founders visited G.E. Society's H.P.T. Arts & R.Y.K. Science College to encourage and inspire students to pursue Artificial Intelligence, Machine Learning, and emerging technology careers — alongside guidance on IITs, NITs, and premier research institutes.

Felicitation of Mr. Pushkaraj Rode by RYK College faculty
📅 05 SEPTEMBER 2026 🏛 KUSUMAAGRAJ SABHAGRUHA

Pathways to IIT, NIT and Beyond

Department of Physics · G.E. Society's H.P.T. Arts & R.Y.K. Science College, Nashik-5

Our founders delivered an inspiring talk to encourage undergraduate and postgraduate science students to take the leap into Artificial Intelligence & Machine Learning. The session covered practical entry points into AI, pathways through competitive exams (CSIR NET, GATE, JAM), and how students from any science background can begin building AI systems today.

Keynote Speakers & Mentors:
Pushkaraj RodeM.Sc in Physics @ IIT Hyderabad Durgesh ThailM.Sc in Physics @ NIT Nagpur
INSPIRE ENCOURAGE AI BUILD YOUR FUTURE

Event Highlights

Felicitation, keynote address, and student interaction from the event.

About The Organization

Igniting Innovators for Tomorrow

The Neural Square is an educational initiative established to break down the barrier between theoretical mathematical sciences and real-world technology implementation. We observe that while students spend years solving textbook problems, they rarely get the opportunity to write compiling code, design neural architectures, or construct autonomous systems from scratch.

Our core mission is to bridge this gap through rigorous, mentor-led build sessions. We want to create a generation of thinkers and engineers who don't just ask “How does this algorithm work?” but also ask “What meaningful system can I build with it?”

PILLAR // 01

Learn

Master mathematical and computational foundations from first principles without relying on black-box assumptions.

PILLAR // 02

Build

Turn conceptual understanding into functioning software, mathematical models, and deployment-ready pipelines.

PILLAR // 03

Experiment

Stress-test hypotheses, evaluate failure modes, optimize hyperparameters, and develop real engineering grit.

PILLAR // 04

Create

Synthesize experiments into portfolio-grade capstones and open-source contributions that solve actual problems.

Interactive Engineering Playground

Under The Hood of AI & ML

No black boxes. Explore the actual algorithms, tensor transformations, and mathematical calculus taught in our workshops.

Edit the starter template, then choose Run Python.

Activation Function & Derivative Visualizer

Deep neural networks require non-linear activations to approximate universal continuous functions. Observe the function $f(x)$ and its gradient $f'(x)$.

Function: f(x) = max(0, x)
Gradient (Backprop): f'(x) = 1 if x > 0 else 0

Live Gradient Descent Parameter Inference

Directly tests the linear regression algorithm trained in Workshop Day 2 on house prices.

LIVE MODEL
Slope (m): 0.0382
Intercept (b): -16.40
Equation: Price = (0.0382 × Area) + (-16.40)
Predicted Price: ₹ 67.64 Lakhs
Real World Deliverables

What Will You Build?

Every workshop culminates in tangible student-built capstone projects designed to form the centerpiece of your technical portfolio.

ML CAPSTONE

House Price Predictor

Supervised regression model utilizing gradient descent to solve multi-variable property valuation problems.

Linear Regression Cost Function
NLP CAPSTONE

PDF Question-Answering AI

Intelligent text extraction and vector similarity search pipeline parsing technical documents to answer queries.

Text Extraction Cosine Similarity
CLASSIFICATION

Student Performance Predictor

End-to-end multi-feature classification model with data cleaning, Decision Trees, and Random Forest ensembles.

Random Forest Evaluation
PHYSICS & AI

Scientific AI Application

Deep artificial neural network models solving non-linear differential dynamics or modeling simulated physical distributions.

ANN Numerical Modeling
Get In Touch

Connect with The Neural Square

Direct channel for students, faculty coordinators, and college leadership to organize cohorts, workshops, and guest lectures.

Official Contact Information

Reach out for institutional partnerships or individual workshop inquiries.

Official Email theneuralsquare@gmail.com
📱
Phone & WhatsApp
+91 7498681845 (Mr. Pushkaraj Rode)
+91 9373829481 (Mr. Durgesh Thail)

Send Us an Inquiry