SINGULARITY INTERFACE ยท MODULE 04

Deep Learning Lab

Neural architectures that bend data like gravity bends light โ€” from dense ANNs to convolutional networks and beyond the event horizon.

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EXPLORE PROJECTS

Neural Architecture Gallery

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CNN Image Classification Computer Vision

๐ŸคŸ ASL Digits Recognizer

Custom 3-layer CNN achieving ~96% accuracy on ASL digits (0-9) with dual deployment โ€” Streamlit web app + OpenCV real-time webcam inference.

Stack: Python ยท TensorFlow/Keras ยท OpenCV ยท Streamlit
Highlights: 3 Conv2D-MaxPool blocks | Smart Uncertainty Alerts | Webcam ROI Cropping
CNN Object Detection Brand Recognition

๐ŸŽฏ Brand Spotter โ€” Logo Detection

Advanced CNN-based logo detection and brand recognition system powered by deep learning for identifying and classifying company logos in images.

Stack: Python ยท TensorFlow/Keras ยท OpenCV ยท Deep Learning
Highlights: Multi-Brand Detection | Real-time Recognition | Transfer Learning
CNN Anomaly Detection Industry 4.0

๐Ÿ”‡ NoiseNinja โ€” Acoustic Anomaly Detector

Unsupervised CNN Autoencoder trained on healthy machine sounds to detect acoustic anomalies in real-time via MSE reconstruction loss with precision thresholding at 0.0036.

Stack: Python ยท TensorFlow/Keras ยท Flask ยท Librosa ยท Chart.js
Highlights: Unsupervised Autoencoder | Live Mel-Spectrogram Dashboard | Real-Time Mic Streaming
1D-CNN Healthcare Signal Processing

๐Ÿ’“ Pulse Nova 1D

AI-powered detection of life-threatening heart rhythm abnormalities from raw ECG signals using a deep 1D Convolutional Neural Network.

Stack: Python ยท TensorFlow/Keras ยท Streamlit ยท Docker
Highlights: MIT-BIH Arrhythmia Dataset | 96.48% Accuracy | Z-Score Normalization
CNN Object Detection Wildlife Tracking

๐ŸฆŒ FaunaFind โ€” Autonomous Biodiversity Monitor

Production-grade, local-first ML pipeline designed to automate wildlife population tracking. Employs YOLOv8-Nano on normalized bounding boxes with a custom Streamlit analytics dashboard.

Stack: Python ยท YOLOv8 ยท OpenCV ยท Pandas ยท Streamlit
Highlights: YOLOv8 Edge Inference | Automated Quality-Control Filter | Asynchronous Data Logging
CNN / U-Net Segmentation Healthcare

๐Ÿง  CORTEX-AI โ€” Brain MRI Segmentation

Production-grade PACS-style workstation for semantic brain tumor MRI segmentation using a custom U-Net CNN trained on the MSD BraTS dataset. Features a containerized FastAPI backend with single-slice tensor execution, dropping inference latency to under 10ms.

Stack: Python ยท TensorFlow/Keras ยท OpenCV ยท FastAPI ยท Docker
Highlights: 0.835 Dice Coefficient | Live Swipe-to-Compare Viewport | Sandboxed Hugging Face Spaces Deployment
๐Ÿ‘๏ธ CNN Projects
ANN Classification E-commerce

๐Ÿ“ฑ Smart Price Predictor

AI-powered Multi-Layer Perceptron classifying smartphones into 4 price categories based on 20+ hardware specs with premium dark glassmorphism UI.

Stack: Python ยท TensorFlow/Keras ยท Streamlit ยท Pandas
Highlights: 4-Class Classification | 20+ Hardware Features | Confidence Scores
ANN Regression Education

๐ŸŽ“ Student Performance Predictor

Robust ANN regression system predicting student final grades (G3) using UCI dataset, analyzing demographic, social & study factors.

Stack: Python ยท TensorFlow/Keras ยท Scikit-learn ยท Streamlit
Highlights: End-to-End Pipeline | Dropout & Early Stopping | Mixed Data Handling
๐Ÿง  ANN Projects
LSTM Time Series Weather

๐ŸŒฆ๏ธ WeatherLens AI โ€” LSTM Forecasting

End-to-end deep learning weather forecasting system using LSTM networks to predict 7-day temperature across 4 major global cities.

Stack: Python ยท TensorFlow/Keras ยท Open-Meteo API ยท Streamlit
Highlights: Multi-step LSTM | 4-City Coverage | Glassmorphism Dashboard
LSTM Time Series Finance

๐Ÿฅ‡ Gold Price Oracle โ€” AI Prediction

Self-updating LSTM prediction engine forecasting gold prices with live market data, autonomous retraining via GitHub Actions.

Stack: Python ยท TensorFlow/Keras ยท Streamlit ยท GitHub Actions
Highlights: Autonomous Self-Retraining | Live Market Feed | Smart Scaling
LSTM Forecasting Agriculture

๐ŸŒพ Deep Crop Yield Forecaster

Advanced Stacked LSTM based deep learning forecaster predicting agricultural crop yields using historical time series data and environmental variables.

Stack: Python ยท TensorFlow/Keras ยท Pandas ยท Geopandas
Highlights: Stacked LSTM Architecture | Time Series Forecasting | NDVI Integration
LSTM Computer Vision Accessibility

๐ŸคŸ SignSense-LSTM

Real-time sign language translation system analyzing 30 consecutive frames (temporal motion) using MediaPipe 3D Hand Landmarks and a deep LSTM network.

Stack: Python ยท TensorFlow/Keras ยท OpenCV ยท MediaPipe ยท Streamlit
Highlights: Temporal Sequence Buffer | Live Confidence Meters | Hybrid Fallback System
๐Ÿ”„ RNN / LSTM Projects
GNN / GCN Fraud Detection Forensics SPA

๐Ÿ›ก๏ธ AegisGNN

Deep learning financial fraud detection system leveraging Graph Convolutional Networks (GCN) to scan transaction logs and identify high-risk networks.

Architecture: Heterogeneous user-transaction networks modeled as spatial graphs, preserving transaction amount attributes.
Optimization: 2-layer GCNConv optimized via Weighted NLL Loss (10x fraud weight) to solve severe class imbalance.
Stack: PyTorch Geometric ยท Flask ยท Vis.js ยท Chart.js ยท Python
ST-GCN GNN/GAT Time Series

๐Ÿ™๏ธ CityPulse AI

Sophisticated real-time traffic forecasting system leveraging Spatio-Temporal Graph Neural Networks (ST-GCN) to predict city-wide congestion 30 minutes into the future.

Architecture: Road networks modeled as non-Euclidean graphs using Graph Convolutions for spatial ripple effects and Temporal Convolutions.
Optimization: Huber Loss & Early Stopping | 0.55 Val Loss (transitioned from mean guessing).
Stack: PyTorch ยท FastAPI ยท Streamlit ยท Python
๐Ÿ“Š GNN Projects
Transformer Fine-Tuning NLP

๐Ÿง  Emotion Pro Analytics

High-accuracy sentiment engine fine-tuning pre-trained DistilBERT on Google's GoEmotions dataset, with dual operational priorities and safety threshold gates.

Architecture: Custom fine-tuned DistilBERT classification head mapping raw feedback to 6 fine-grained emotions.
Safety: Integrated 60% confidence gate isolating ambiguous entries for human-in-the-loop review.
Stack: Python ยท PyTorch ยท Hugging Face ยท Streamlit ยท Plotly
โšก Transformer Projects