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Priyanka Goradia's Projects

amplifier icon amplifier

Digital Electronics Project: Designed and prototyped an audio-band amplifier with a midband voltage gain of 11 V/V Β±5% at 2 kHz.

breast-cancer-classifier-ai icon breast-cancer-classifier-ai

This project aims to classify breast cancer tumours as benign or malignant using machine learning techniques. The pipeline includes data preprocessing, model building, and performance evaluation steps.

disk-ops icon disk-ops

πŸ”„ Explore Disk Scheduling Algorithms: Understanding Efficient Hardware Utilization πŸ“€

dual-rail icon dual-rail

πŸ”Œβš‘οΈ "Dual Rail Supply Lab": Designed and prototyped a Β±10V, 25mA dual rail supply with voltage regulation (<5%) and ripple voltage (<0.5%). Divided into rectifier, filter, and regulator stages. Simulated in LTSpice, implemented on SK-10 breadboard, and measured using Agilent oscilloscope. Results detailed in report. πŸ“ŠπŸ”¬

elevator-man icon elevator-man

πŸ”πŸ› οΈ FSMs Project: Part 1: πŸ•΅οΈβ€β™‚οΈ Designing Mealy and Moore FSMs for "00XX1" sequence detection. Part 2: πŸ”πŸ› οΈ Reverse engineering black box sequence detector's FSM, VHDL implementation, FPGA verification. Part 3: πŸ’πŸ› οΈ Elevator state machine upgrades: floor transitions, emergency indication, cabin controller enhancements.

foody-tips icon foody-tips

This project implements a fuzzy logic system for tip recommendation based on food and service quality attributes. It uses skfuzzy to create a fuzzy tree and provides users with recommended tip percentages. πŸ₯—πŸ°

fuzziness icon fuzziness

πŸ” Explore image classification with CNNs on MNIST dataset using LeNet architecture. Dive into modern design choices, implement stratified cross-validation, and evaluate performance on an out-of-sample test set. πŸš€ #DeepLearning #CNN #MNIST

ghosts-chasing icon ghosts-chasing

Replica of the classic Pac-Man game featuring customized levels, basic game AI, and intuitive controls. Navigate Pac-Man through maze-like levels, eating dots while avoiding ghosts. Lose if caught by a ghost, win by clearing all dots. Built using Java in Eclipse IDE.

heavy-lock icon heavy-lock

This project focuses on enhancing and examining a simple central processing unit (CPU) implemented with standard digital hardware components, leveraging a provided VHDL (VHSIC Hardware Description Language) model.

invertor icon invertor

Designed and simulated an inverter in Cadence

paris-snaps icon paris-snaps

Image segmentation techniques for Image_Paris dataset

pinot-noir icon pinot-noir

Multi-layer perceptron (MLP) network, using the backpropagation with momentum learning algorithm, to solve the Wine Dataset classification problem.

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