Founder & CEO @MyMagicPencil | CEO @ Civilytix Pvt.Ltd | AI Automation Expert | AI for Good

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Harshit Sharma  • Peerlist

I developed a series to calculate the integration of functions without using standard integration formulas, implemented it in Python using some already built libraries like sympy.

Calculus Integrations

Extracting and filtering data: I used pandas' dataframes to efficiently extract relevant data from various Google Sheets, potentially filtering based on specific criteria. Merging and ranking: I merged data from two separate files, potentially using techniques like inner joins or concatenations. The merged data was then ranked based on a chosen criterion, demonstrating the ability to manipulate and order data effectively. File conversion: I exported the final, processed data as a CSV file using pandas' functionalities, ensuring compatibility for further analysis or sharing.

Developed a data manipulation project using p

The idea is to probe for gaseous planets, the code includes simulating real-time scenario calculations for controlled volume expansion of the probe in fluid particles generating the required data for training and its representation by scatter plot of particle.

ICPEH ISRO Conference Selection at PRL "BUOYA

Introduction: My project, the Urban Heat Island Monitoring System, developed for the SDGs Hackathon at IIT Madras, utilizes Google Earth Engine (GEE) and machine learning to predict UHI values. Leveraging Earth Engine datasets, it employs Python, geemap, scikit-learn, pandas, and TensorFlow for data processing and model development. Key Components: Data Acquisition: GEE gathers LST, land cover, and urban morphology data. Machine Learning: Supervised algorithms, including deep learning, predict UHI values and analyze feature importance. Spatial Analysis: Fish grid methodology defines grid sizes, facilitating targeted analysis. Visualization: Matplotlib and Seaborn present UHI predictions and feature importance intuitively. Web Application: A user-friendly interface offers seamless access to UHI predictions and spatial analysis results. Conclusion: The Urban Heat Island Monitoring System empowers stakeholders with accurate predictions, aiding urban planning for sustainable development. Join me in addressing the challenges of urban heat islands and fostering sustainable cities and communities. #SDGs #UrbanHeatIsland #SustainableDevelopment #MachineLearning #GoogleEarthEngine