Chaitanya Singh
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Uses superposition and interference to find the exit path faster than classical methods.
Simulated isothermal flow past a cylinder using the Lattice Boltzmann Method.
Simulated 2D cosmic web formation via N‑body gravity, revealing filaments, nodes, and voids.
Simulated three-body gravitational dynamics with leapfrog integration, visualizing chaotic orbits.
Simulated Brownian motion via particle collisions, illustrating random thermal jiggle.
Simulated 2D galaxy cluster collision, visualizing tidal tails and merging dynamics.
Visualized hydrogen orbital probability densities in 3D using Python, SciPy, and Matplotlib.
Quantum‑classical classification of Fashion‑MNIST sandals vs boots using TFQ and Cirq.
Spectrophotometric analysis of food dyes and verification of Beer’s Law
Keras‑based CNN for handwritten digit recognition, achieving over 99% accuracy.
LSTM model predicts next-day stock prices using recent closing history.
Predicted median house values using linear regression on engineered housing features.
Random Forest predicts tomato commodity prices using day index.
CNN-based classifier identifies fungal species from images.
Real‑time disaster relief platform with resource tracking and interactive maps.
Built a mock graph‑based network for users and brands
Decomposed images into uniform‑color regions via quadtree‑style BST
Implemented a linked‑list command interpreter for turtle drawing
Parsed airport and flight CSVs for interactive analysis.
Simulated inspector assignments for Ontario bridge network.
 Developed a two‑player line‑making slide puzzle with function‑driven design
Analyzed income vs. hypertension correlations across neighborhoods
Mapped terrain elevation patterns using nested loops and lists
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