I'm a 3rd semester AI/ML student building a closed-loop Brain-Computer Interface system that detects REM sleep and triggers haptic stimulation for lucid dream induction.

I call the long-term vision LUCID: Reality? — a dream interface where multiple people can share a collaboratively generated world during sleep. I call this technology Artificial Reality.

"When you are inside Artificial Reality, the question 'is this real?' becomes genuinely unanswerable."

My primary research project. A complete BCI pipeline: EEG signal → CNN-LSTM classifier → REM detection → safety interlock → haptic trigger Results so far (Sleep-EDF Cassette dataset):

Tech stack: PyTorch · MNE-Python · scikit-learn · NumPy · SciPy

Machine Learning

Deep Learning architectures I've implemented from scratch:

• ✅ Neural networks (forward pass + backprop)
• ✅ CNNs — MNIST 98.47%, CIFAR-10
• ✅ LSTMs — sleep staging 80.14%
• ✅ Attention mechanisms
• ✅ Transformer encoder
• ✅ CNN-LSTM hybrid (BCI application)

Signal Processing

• EEG preprocessing (bandpass filter, epoch extraction)
• Sleep-EDF dataset (AASM standard staging)
• Real-time signal pipeline design

Tools

Closed-loop BCI for automated lucid dream induction. CNN-LSTM sleep stage classifier · 80.14% accuracy · Working haptic trigger. → github.com/anu-rag-007/PROJECT-07

Complete ML learning journey — from Python basics to transformers. 40+ LeetCode solutions, weekly notebooks, Kaggle projects (Titanic 78%), neural network from scratch. → github.com/anu-rag-007/Journey-to-the-BEST

Automatically detects soil dryness and waters the plant — no human effort needed. It is a great way to nurture plants keeping our resources in control and saving a hell lot of water. Arduino . Environment . ECE → github.com/anu-rag-007/smart_irrigation_system

Brain-Computer Interfaces → the hardware of LUCID EEG signal processing → reading the brain Deep learning for biosignals → understanding the brain AR / VR / XR → the delivery layer Neural rendering (NeRF) → generating dream worlds Generative AI → creating the content

Solving the Blind 75 list systematically. Arrays & Hashmaps ████████████ ✅ Stack & Queue ████████████ ✅ Trees & Recursion ████████████ ✅ Sliding Window ████████████ ✅ Linked Lists ████████████ ✅ Graphs ████████░░░░ in progress Dynamic Programming ████████░░░░ in progress

40+ problems solved · 7 core patterns

• 🔬 Experiment 006 — Expanding Sleep-EDF to 153 subjects
• 📄 Paper draft — IEEE TNSRE submission preparation
• 💡 Real-time pipeline — Muse S integration plan
• 📚 Week 9 of AI/ML self-study roadmap

LUCID: Reality? is a 10-15 year research initiative to create a shared dream interface — a technology I call Artificial Reality.

Phase 1 (now): BCI classifier + lucid induction Phase 2 (Year 2): Neural decoding + image generation Phase 3 (Year 3): 3D world generation + navigation Phase 4 (Year 5): Multi-user shared dream world Phase 5 (Year 10): Full Artificial Reality platform

The dream: when two people can enter the same generated world through sleep, indistinguishable from reality — that is Artificial Reality.

• 📧 Email — sharma.anurag0706@gmail.com
• 🔗 LinkedIn — linkedin.com/in/anurag-sharma-2a8b3b371
• 📊 Kaggle — kaggle.com/anuragsharma07112006
• 🧪 Project 07 — github.com/anu-rag-007/PROJECT-07