LIVE NOTICE
⚡ LATEST ACTIVITY: MediaPipe Hand Tracking Lab deployed in Workshops • Hackathon 2026 registrations opening for student teams!
OCT College Seal AIML Club Emblem

INNOVATE. IMPLEMENT. INSPIRE.

A student-driven technical community building, learning and experimenting with AI and machine learning.

ORIENTAL COLLEGE OF TECHNOLOGY • BHOPAL · INDIA [23.2599° N, 77.4126° E]
LEARN → BUILD → RESEARCH → EXPERIMENT → SHIP → SHARE
METRIC 01
12
Curriculum Modules
From NumPy & Calculus to LLM Agents & MLOps
METRIC 02
04
Colab Notebook Labs
Zero-setup executable cloud GPU environments
METRIC 03
09+
Verified Events
Bootcamps, Aptify 2.0, CSC, Hackathons
METRIC 04
41
Council & Team
Faculty coordinators, architects, wing leads
Oriental College of Technology, Bhopal Campus Building
00 // EDITORIAL IDENTITY & MANIFESTO

We Don't Just Study AI.
We Build with It.

Surface-level tutorials cannot prepare engineers for production reality. We enforce mathematical foundations, zero-dependency algorithm rebuilds, strict peer review, and continuous deployment.

PHASE 01 // FOUNDATION

Mathematical Rigor

Mastering matrix calculus, eigenvalues, probability distributions, gradient descent convergence, and loss function geometry before invoking high-level frameworks.

NumPy • SymPy • SciPy
PHASE 02 // RECONSTRUCTION

Zero-Dependency Rebuilds

Implementing fundamental algorithms from scratch—linear regression, k-nearest neighbors, naive Bayes, and multilayer perceptrons—using pure Python and analytical calculus.

Pure Python 3.12+ • Pure Math
PHASE 03 // DEEP LEARNING

Production Frameworks

Accelerating architectures with PyTorch tensors, autograd, GPU acceleration, and Scikit-Learn pipelines. Training reproducible models with strict cross-validation.

PyTorch • Scikit-Learn • CUDA
PHASE 04 // SERVING

Inference & Optimization

Packaging model weights into ONNX runtimes, building sub-20ms FastAPI microservices, implementing token streaming, and containerizing pipelines for Kubernetes deployment.

FastAPI • Docker • ONNX Runtime
PHASE 05 // RIGOR

Peer Review & PR Audit

Every student pull request undergoes automated linting, test coverage checks, and rigorous review by club technical leads before merging into production.

GitHub Actions • Ruff • Pytest
PHASE 06 // ECOSYSTEM

Open Source Impact

Publishing benchmark studies, dataset releases, Colab tutorials, and reusable starters to empower the next generation of engineers across Central India.

MIT License • Hugging Face Hub
01 // LEARN

WE LEARN THE FOUNDATIONS.

Curated syllabus spanning foundational Python to advanced frontier models. Every module includes theory notebooks, exercises, and evaluation criteria hosted in our open repository.

MOD-01 FOUNDATION

Python for Data Science

Memory models, list comprehensions, NumPy vectorization, broadcast mechanics, and structured arrays.

Week 1–2 NumPy • Vector Math
Read Syllabus
MOD-02 MATHEMATICS

Mathematics for Machine Learning

Linear algebra (SVD, PCA), multivariate calculus (Jacobians, Hessians), probability distributions, and Bayes theorem.

Week 3–4 Calc • Linear Algebra
Read Syllabus
MOD-03 DATA OPS

Data Wrangling & Analysis

Pandas & Polars, missing value imputation strategies, categorical encoding, Outlier bounds, and Seaborn visualization.

Week 5 Pandas • Polars
Read Syllabus
MOD-04 CLASSICAL ML

Classical Machine Learning

Ordinary Least Squares, Ridge/Lasso, Logistic regression, SVMs, Decision Trees, Random Forests, and XGBoost.

Week 6–7 Scikit-Learn • XGBoost
Read Syllabus
MOD-05 DEEP LEARNING

Deep Learning Fundamentals

Multilayer perceptrons, backpropagation equations, activation functions, optimizers (AdamW, SGD with momentum), and PyTorch tensors.

Week 8–9 PyTorch • Autograd
Read Syllabus
MOD-06 VISION

Computer Vision & CNNs

Convolutions, pooling, ResNet residual blocks, transfer learning, object detection with YOLO, and real-time OpenCV streams.

Week 10 Torchvision • OpenCV • YOLO
Read Syllabus
MOD-07 NLP

Natural Language Processing

Tokenization, TF-IDF vectors, Word2Vec embeddings, sequence modeling with LSTMs, and sentiment classification.

Week 11 NLTK • Spacy • HuggingFace
Read Syllabus
MOD-08 TRANSFORMERS

Transformers & LLMs

Scaled dot-product self-attention, multi-head attention, positional encodings, BERT, GPT decoder architectures, and quantization.

Week 12 Transformers • PyTorch
Read Syllabus
MOD-09 GENAI

Generative AI & RAG

Dense vector embeddings, pgvector, hybrid BM25 + dense search, semantic chunking, and verifiable grounded prompt generation.

Week 13 LangChain • LlamaIndex
Read Syllabus
MOD-10 MLOPS

MLOps & Production Systems

Model serialization, FastAPI inference endpoints, Docker multi-stage builds, model drift monitoring, and batch processing.

Week 14 Docker • FastAPI • CI/CD
Read Syllabus
MOD-11 RL & AGENTS

Reinforcement Learning

Markov Decision Processes, Bellman optimality, Q-learning, Policy Gradients, and tool-augmented autonomous LLM agents.

Week 15 Gymnasium • Stable-Baselines3
Read Syllabus
MOD-12 RESEARCH

Research Methodology & Ethics

Paper replication standards, algorithmic fairness auditing, bias mitigation, ablation studies, and IEEE/arXiv paper authoring.

Week 16 Benchmarks • LaTeX
Read Syllabus
EXECUTABLE COLAB SANDBOXES

Interactive Cloud GPU Notebooks

QUICK CLONE: git clone https://github.com/AIMLCLUBOCT/Workshops.git
LAB // 01 CPU / GPU OPTIONAL

Python, NumPy & Pandas Primer

Fundamental vector operations, memory allocation benchmarks, array broadcasting, and clean data wrangling on real academic datasets.

Vectorized arithmetic Pandas indexing speedups Hands-on exercises
LAB // 02 CPU SUFFICIENT

Supervised Machine Learning

Linear regression, logistic classifiers, decision boundaries, ROC-AUC curves, and cross-validation grids using Scikit-Learn.

Confusion matrix analysis Hyperparameter tuning Overfitting prevention
LAB // 03 T4 GPU RECOMMENDED

PyTorch Neural Networks from Scratch

Writing custom `nn.Module` classes, understanding automatic differentiation via `loss.backward()`, learning rate schedulers, and image classification.

Dynamic computation graphs DataLoader & batching Loss monitoring curves
LAB // 04 CPU / GPU OPTIONAL

Sentiment & Text NLP Pipeline

Text normalization, subword tokenizers, TF-IDF matrix transformations, Naive Bayes vs. pre-trained HuggingFace transformers.

Text cleaning regular expressions Precision / Recall curves Inference benchmark
02 // BUILD

FROM IDEAS TO SYSTEMS.

Production-grade systems created by OCT engineers. Every project includes automated test coverage, modular pipelines, and zero-dependency mathematical fallbacks.

PROJECT // 01 STABLE RELEASE
RAW INPUT STREAM
Email MIME Body / RFC 5322 Headers
PREPROCESSING ENGINE
Regex Normalization • TF-IDF Vectorizer
CLASSIFICATION CORE
MultinomialNB • Fallback Vector Math
OUTPUT ENVELOPE
Spam Probability • Sub-8ms Latency
ACCURACY 97.4%
LATENCY < 8ms
COVERAGE 100%
01 / 04 STABLE RELEASE

Campus Phishing Email Detection System

The Threat: Collegiate networks frequently suffer credential harvesting attacks targeting university student portals and fee gateways.

The Solution: A dual-mode text classifier using TF-IDF tokenization combined with Multinomial Naive Bayes. Includes a pure Python zero-dependency mathematical fallback module for offline embedded devices.

Scikit-Learn FastAPI Pure Python Math Pytest
Inspect Architecture Dual-Mode Fallback Enabled
02 / 04 STABLE RELEASE

Student Academic Performance & Risk Predictor

The Problem: Identifying at-risk engineering undergraduates before end-of-semester university examinations allows early academic intervention.

The Solution: A tabular regression and classification model analyzing internal assessment scores, laboratory attendance, and study hours. Features an analytical gradient descent fallback engine.

Random Forest Gradient Descent Pandas CSV Pipelines
Inspect Architecture R² Score: 0.91
03 / 04 ACTIVE LAB

Construction Safety Helmet & PPE Real-Time Vision

The Problem: Industrial manufacturing and campus construction sites require strict personal protective equipment compliance to prevent injuries.

The Solution: Fine-tuned YOLOv8 neural network trained on hard-hat and vest datasets, optimized with ONNX Runtime to maintain 45 FPS on edge video streams.

YOLOv8 OpenCV ONNX Runtime PyTorch
Inspect Architecture Edge Speed: 45 FPS
04 / 04 ACTIVE LAB

Campus Ordinance Semantic RAG Assistant

The Problem: University syllabi, exam rules, and college notifications span hundreds of unstructured PDF pages, making student inquiry tedious.

The Solution: Hybrid BM25 keyword + dense vector semantic retrieval system over official OCT documents with citation tracking and hallucination guardrails.

LangChain pgvector FastAPI SentenceTransformers
Inspect Architecture Zero Hallucination Gate
03 // RESEARCH

ASK. EXPERIMENT. MEASURE.

Moving beyond theoretical speculation. Our student researchers conduct empirical replications, model quantizations, and inference efficiency audits.

EXP-01 // QUANTIZATION OCT-LAB 2026

Edge Latency vs INT8 Quantization Loss

Quantizing ResNet-50 and YOLOv8 weights from FP32 to INT8 via ONNX Runtime to evaluate mAP degradation against inference frame rate gains on low-power Intel Celeron and Raspberry Pi edge devices.

PRECISION FPS (CPU) mAP@50 SIZE
FP32 Original 12.4 88.2% 98 MB
INT8 Quantized 38.7 (3.1x) 86.9% (-1.3%) 26 MB (-73%)
EXP-02 // VISION ROBUSTNESS OCT-LAB 2025

MediaPipe Landmark Occlusion in Low-Light Classrooms

Evaluating 33-point pose landmark estimation drift under fluctuating ambient illumination (50–300 lux) and classroom desk occlusions for student posture analysis.

CONDITION CONFIDENCE DRIFT (PX) FPS
High Light (300 lux) 0.94 ± 2.1 px 60 FPS
Low Light (50 lux) 0.81 ± 6.8 px 58 FPS
EXP-03 // NLP PARAMETERS OCT-LAB 2026

PEFT / LoRA vs Full Fine-Tuning Convergence

Comparing parameter-efficient fine-tuning (LoRA rank=8, alpha=16) against full backpropagation on Llama-3-8B for campus ordinance question answering on 1x 16GB GPU.

METHOD TRAINABLE PARAMS VRAM USE ROUGE-L
Full Tuning 8.03 Billion OOM (>48GB) N/A
LoRA (r=8) 13.6 Million (0.17%) 11.4 GB 0.724
3D Neural Attention Lattice Visualization
ARCHITECTURE AUDIT
DEEP LEARNING FOUNDATIONS

Scaled Dot-Product Attention & Multi-Head Lattice Mechanics

Students dissect the mathematical core of the Transformer architecture: query-key-value projections Attention(Q, K, V) = softmax(QK^T / sqrt(d_k))V, causal masking matrices, rotary position embeddings (RoPE), and KV-caching memory profiles for real-time edge execution.

O(N²) → O(N) Complexity Bounds
12 Heads Parallel Projections
768 Dim Latent Space
[REAL-TIME STUDENT RADAR]
04 LIVE ACTIVITIES & NOTICES

Stay synchronized with club operations. Live activities, workshops, and releases.

Whenever an organizer schedules a workshop, a student commits an open-source project blueprint, or new learning materials are published, it appears right here in real-time. Students can also propose their own activities directly.

05 // CHRONOLOGY

VERIFIED EVENT ARCHIVE.

From technical aptitude challenges to deep-learning bootcamps. Historical records of hands-on sessions conducted at Oriental College of Technology, Bhopal.

2026-02-15 COMPETITION & AWARDS

Aptify 2.0 & Grand Winners Felicitation Ceremony

The flagship second edition of Aptify featuring advanced technical aptitude, algorithmic reasoning rounds, and a grand felicitation ceremony honoring campus winners with certificates and accolades.

Aptify 2.0 Grand Winners Felicitation Ceremony
Winners Felicitation Ceremony
Aptify 2.0 Lab Examination & Evaluation Session
OCT Campus Evaluation Session
Central Auditorium, OCT Bhopal Campus Flagship Event & Winners Photos Event Archive COMPLETED
2026-01-28 CONVENTION

CSC 2026 Technical Convention & AI Showcase

Annual technical convention showcasing student innovations, model demonstration booths, and research poster presentations across AI & Machine Learning.

CSC 2026 Technical Convention & Showcase
CSC 2026 Convention & Project Exhibition
Oriental Campus, Bhopal Full Day Convention Docs COMPLETED
2025-12-30 ORIENTATION

New Core Team Member Orientation

Official onboarding session for newly inducted executive council and wing leads. Presentation of 2026 development roadmap, Git workflows, and event calendars.

Oriental College of Technology, Bhopal 2 Hours COMPLETED
2025-12-13 WORKSHOP

WordPress & Web Architecture Workshop

Hands-on session introducing modern web architecture, CMS deployment, DNS management, and custom endpoint integrations for college technical societies.

OCT Bhopal Computer Center 3 Hours COMPLETED
2025-11-29 EXPERT TALK

Expert Seminar: Reinforcement Learning & MDPs

Deep-dive into Markov Decision Processes, policy gradient theorem, reward engineering, and autonomous robotics applications presented by senior industry practitioners.

Main Auditorium, OCT Bhopal 1.5 Hours COMPLETED
2025-11-10 COMPETITION

Codify — Flagship Algorithmic Coding Challenge

Intra-college competitive programming tournament testing algorithmic efficiency, dynamic programming, tree traversals, and Python mathematical problem-solving.

Online Judge & Campus Labs 1 Hour Intensive COMPLETED
2025-10-13 COMPETITION

Apfity — Aptitude & Logical Problem Solving

Comprehensive challenge assessing numerical aptitude, pattern recognition, and computational thinking for engineering pre-final and final year candidates.

OCT Bhopal Campus 1 Hour Archive Drive
2025-09-12 BOOTCAMP

3-Day Hands-on AI/ML Bootcamp (10–12 Sep Workshop)

Intensive 3-day practical bootcamp covering Python fundamentals, NumPy vectorization, exploratory data analysis, and predictive modeling for engineering students.

3-Day Hands-on AI/ML Bootcamp Session
Hands-on Bootcamp & Mentorship Lab
OCT Bhopal Computer Center 3-Day Intensive Bootcamp Photos & Certificates Workshop Repo
2025-09-11 WORKSHOP

DSPL 2-Day Intensive Hands-On Workshop

Data Structures & Programming Logic bootcamp focusing on recursion, pointer mechanics, stack/queue paradigms, and practical Python implementations.

OCT Department of CSE 2 Full Days Archive Drive
2025-09-10 SESSION

DSPL Foundation Session: Logic & Algorithmic Thinking

Introductory symposium laying the foundation for mathematical abstraction and clean procedural design in modern high-level languages.

Oriental College of Technology 2 Hours Archive Drive
2025-08-26 EXPERT TALK

Tech Industry Practices with Coding Thinker

Interactive dialogue on corporate engineering standards, clean architecture, software engineering hiring patterns, and technical resume development.

OCT Seminar Hall 1.5 Hours COMPLETED
2025-08-14 INAUGURATION

Official AIML Club Inauguration & Faculty Keynote

Foundational assembly inaugurating the club charter, unveiling the student council, and establishing research partnerships with Oriental Group leadership.

Official AIML Club Inauguration Ceremony on Stage
Founding Inauguration Assembly on Stage
Central Auditorium, OCT Bhopal Inaugural Keynote COMPLETED
07 // HUMAN CAPITAL

THE 41-MEMBER COUNCIL.

Meet the faculty coordinators, executive leadership, and wing architects driving daily research, operations, and workshops at Oriental College of Technology.

08 // OPEN SOURCE

BUILD IN PUBLIC. SHIP TO PRODUCTION.

All curriculum roadmaps, Colab labs, production microservice blueprints, and event logs are openly licensed under MIT across the AIMLCLUBOCT organization.

The primary 12-module open-source curriculum spanning NumPy, Calculus, Scikit-Learn, PyTorch, Transformers, and MLOps.

Jupyter Notebook MIT License

Hands-on Google Colab notebooks tailored for live student bootcamps with 1-click cloud execution.

Python 3.12 MIT License

Curated starter projects, fallbacks, and production-grade architectures with good first issues for contributors.

Python / FastAPI MIT License

Standardized blueprints for ML microservices, Docker inference containers, evaluation benchmarks, and issues.

Docker / YAML MIT License

Centralized archive of all club hackathons, workshops, bootcamps (Aptify 2.0, Codify, SnapCode) with schedules and outcomes.

Markdown / Archive MIT License

Organization-wide governance, community health profiles, constitution, code of conduct, and contribution workflows.

Community Health CC-BY-4.0
[THE CHARTER]

BUILD WHAT
COMES NEXT.

Artificial intelligence is not a passive spectator sport. Whether you are in your first semester writing your first matrix transpose or a final-year researcher training sparse attention decoders—our laboratory is open.

Club Media & Event Records

Official Google Drive repository archiving high-resolution event photographs, certificates (10–12 Sep), and Aptify 2.0 ceremony moments.

drive.google.com/drive/folders/1-_byssQs...
Open Media Archive

Flagship Production Web

Next.js production web portal hosting real-time notifications, event registrations, and announcements.

aimlcluboct.in
Launch Site

Verified WhatsApp Channel

Direct announcement broadcast for competition alerts, workshop deadlines, and guest speaker sessions.

WhatsApp Broadcast Channel
Follow Channel

Commudle Community

Official community partner platform for event ticketing, campus check-ins, and hackathon certificate issuance.

commudle.com/communities/ai-ml-club
Join Commudle