Projects
A mix of academic, personal and professional projects. Click on the titles to visit the respective Github repository.
Wordle Clone |
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Python (steamlit) |
JUN’22 - JUL’22 |
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A Wordle clone with a social twist, hosted on streamlit for easy access. |
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NOTAM Mapper |
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Python (folium, re, steamlit) |
JUN’22 - JUL’22 |
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Built and deployed a web app to process notice to airman (NOTAM) documents and mark events on an interactive map. |
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University ROI |
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R |
JAN’22 - MAY’22 |
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Applied econometric and statistical analysis along with data visualization in R to examine factors affecting average income after graduation in the United States. |
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Big Word Game |
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Python (Google Colab) |
JAN’22 |
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A Wordle clone with a social twist, built using Google Colab for easy access. |
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Research statistician, national level survey |
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R, Tableau |
Jan’22 |
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Carried out statistical analysis and visualization of survey (Likert scale) data using R and Tableau for "A National Semi-Qualitative Survey/Study on the Applicability of Social Prescribing in The United Kingdom during the COVID-19 Pandemic" conducted by the University of Dundee, Scotland. |
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Programming assistant, Ph.D. project |
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Python (PyQtGraph) |
DEC’21 |
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Built a real-time graphing program in python to plot multiple parameters from a continuously updating data file as part of a Ph.D. research project on "Robotic Drilling Machine Digital Twin" at the University of Limerick, Ireland. |
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Ireland house pricing, capstone project |
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Python (folium, keras, nltk ,scikit-learn) |
SEP’21 - DEC’21 |
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Led a team through an end-to-end machine learning project, analyzed and visualized Ireland housing data, employed multiple approaches to predict house prices. Placed first in module Kaggle competition. |
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Climate change research project |
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Microsoft Power BI, R |
SEP’21 - DEC’21 |
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Conducted research on feasibility of reducing pollution by introducing electric vehicle taxis. Performed data cleaning with R, visualized data and presented data-driven insights with Power BI. |
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HEART ARRHYTHMIA DETECTION |
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Excel , R, Python, SQL, Tableau |
AUG’20 - DEC’20 |
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Built and optimized a deep learning model to detect heart
arrhythmia from ECG readings with an accuracy of 91%. |
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AUTOMATED KML GENERATOR |
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Python (re, Tkinter) |
OCT’20 - NOV’20 |
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Designed an application to generate keyhole markup language
files from coordinates mentioned in a Notice-To-Airman
document. |
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HATE SPEECH MODERATION |
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Excel, Python (nltk, re, Tkinter, scikit-learn) |
AUG’20 - DEC’20 |
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Constructed a hate speech detection system using TF-IDF values
from a twitter dataset, achieving an accuracy of 95%. |
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PNEUMONIA DETECTION SYSTEM |
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Python (opcv-python, tensorflow-gpu, Tkinter, scikit-learn) |
AUG’20 - DEC’20 |
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Utilized the tensorflow deep learning framework to build a
convolutional neural network to detect pneumonia from x-ray
images with an accuracy of 92.98%. |
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RAINFALL PREDICTION FOR THE STATE OF MAHARASHTRA |
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Apache Spark, R, MATLAB, Tableau |
JAN’20 - MAY’20 |
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Generated a rainfall prediction model from a large (~ 3.6
million data points) dataset, accurate to within 2 mm using
Apache Spark, integrated model into GUI application using
R. |
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REMOTE TEMPERATURE MONITORING SYSTEM |
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Tableau, Arduino, ThingSpeak |
JAN’20 - MAY’20 |
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Calibrated sensors and derived voltage-temperature
relationship using Tableau. |
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DEMONSTRATION OF GENETIC ALGORITHM |
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Processing |
AUG’19-DEC’19 |
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Designed a scenario and wrote a program in processing which
utilized a genetic algorithm to solve it. |
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FACIAL RECOGNITION SMART ELEVATOR SYSTEM |
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Arduino, Python (opencv-python) |
JAN’19-MAY’19 |
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Conducted a survey on campus on the effectiveness of “elevator
assistants” found across India. |
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VISION BASED FIRE DETECTION SYSTEM |
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Arduino, Python (opencv-python) |
JAN’19-MAY’19 |
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Created a database of multiple images of fire, generated an
.xml file. |
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STUDY ON DEGREE OF POLYNOMIAL MODEL FOR MOOD PREDICTION |
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MATLAB, Python |
AUG’19-DEC’19 |
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Collected calorie data using various fitness tracking apps. |
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SUDOKU SOLVER USING BACKTRACKING |
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C++ |
AUG’19-DEC’19 |
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Wrote a program in C++ to solve a well-known puzzle using a
new algorithm studied in class. |
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DC MOTOR PID CONTROLLER |
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MATLAB Simulink, Proteus |
JAN’19-MAY’19 |
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Derived the transfer function of a DC motor system and a PID
controller on paper. |
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BAND PASS FILTER FABRICATION |
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Proteus |
AUG’18-DEC’18 |
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Constructed model of band pass filter in Proteus. |
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ECG BASED HEART RATE CALCULATOR |
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MATLAB |
AUG’18-DEC’18 |
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Wrote a program in MATLAB to calculate heart rate by examining R-peaks in a given ECG signal. |
Publications & Conferences
- Johnathan Fernandes, Sarthak Chudgar, Harshal Dharap, & Aneesh Poduval (2021). Deep learning assisted heart arrhythmia detection. Journal of Physics: Conference Series, 1817(1), 012011.
- Sarthak Chudgar, Johnathan Fernandes, Aneesh Poduval. "Smart elevator using facial recognition." International Journal of Advance Research, Ideas and Innovations in Technology 5.6 (2019). www.IJARIIT.com.
- Aneesh Poduval, Johnathan Fernandes, Sarthak Chudgar. "Predictive Analysis on Rainfall Statistics in Maharashtra" International Journal of Recent Engineering Research and Development.