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I'm Radhika Sharma
Computer Science Engineer

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About Me.

I’m Radhika Sharma, a final-year B. Tech student specializing in Artificial Intelligence and Machine Learning at The NorthCap University, Gurugram. I am passionate about programming, AI, and robotics and aspire to build intelligent systems that make a positive impact.

My hobbies include space exploration, environment conservation, gardening, and traveling, which inspire my creativity and problem-solving skills.

I’ve gained hands-on experience through internships with the India Meteorological Department (IMD) Delhi, Oasis Infobyte, and My Social Fox, where I worked on building AI models, NLP systems, and data analysis tools.

Experience

  • India Meteorological Department (IMD) Delhi Research Intern
  • Oasis Infobyte Data Analyst Intern
  • My Social Fox Data Science Intern

Achievements

Skills

  • Languages: Python, C++, Java, SQL
  • Frameworks & Libraries: NumPy, Pandas, SciPy, Tkinter, Scikit-learn, LangChain
  • Platforms: Windows, Linux
  • Database: MySQL
  • Tools: Eclipse, Servlet

Selected Works.

Arduino Rover

IMD department

Computer Vision based image quality assessment, object recognition and NLP based tagging

Developed and implemented advanced computer vision techniques to enhance image quality assessment, improving the accuracy and reliability of meteorological image analysis. My work included object detection and pattern recognition to identify weather-related elements in images, even those not visible. I utilized image processing techniques like sharpening and restoration to improve clarity, executed image retrieval for comparative research, and analysed patterns to better understand weather phenomena.

Arduino Rover

Arduino Rover

Robotic Car

Developed an Arduino Rover with autonomous navigation, using Arduino microcontroller for motor control and sensor integration. The project included features like obstacle avoidance and remote control via Bluetooth. The rover demonstrated proficiency in robotics, programming, and hardware integration. Project Video Link.

Sales Price Prediction

Sales Price Prediction

Machine Learning Model

This machine learning project focused on building a predictive model for sales prices based on historical trends and market data. The model enabled businesses to make data-driven pricing decisions, optimize revenue, and adapt to market demands effectively. Project Link.

Email Spam Detection

Email Spam Detection

Machine Learning Model

Leveraging Natural Language Processing (NLP) techniques, this project aimed to detect and filter spam emails efficiently. The system improved email security and communication reliability by accurately classifying emails into spam and non-spam categories. Project Link.

Disease Prediction

Disease Prediction

Machine Learning Model

Using machine learning techniques, this project focused on predicting the risk of multiple diseases, including heart disease, diabetes, and Parkinson’s. By analyzing medical data, lifestyle factors, and genetic information, the model offered reliable predictions, aiding healthcare professionals in early diagnosis and preventive care. Project Link.

Image Denoising

Image Denoising

Machine Learning Model

Contributed to a project focusing on enhancing image quality through denoising techniques. Utilized various algorithms, including Gaussian filtering and wavelet transforms, to reduce noise and improve visual clarity. The project aimed at refining images for applications in computer vision, where clear and accurate visuals are essential. This work demonstrated a strong understanding of image processing concepts and the application of mathematical models to improve image quality. Project Link.

About My Internships

India Meteorological Department

Delhi

Developed advanced computer vision techniques, focused on image quality assessment, object detection, and image retrieval to enhance meteorological data analysis and visualization.

My Social Fox

Data Science Intern

Created accurate ML models for iris classification and car price prediction, conducted an in-depth analysis of unemployment trends using statistical methods, and developed a reliable car price prediction model to support informed decision-making.

Oasis Infobyte

Introduction to Machine Learning

Designed an email spam detection system to enhance communication security and assisted businesses in optimizing pricing strategies through sales price prediction.

02 +
Experience

At the India Meteorological Department (IMD), Delhi, I built AI models, applied computer vision techniques to enhance meteorological image analysis, and implemented NLP systems for data categorization. During my internships at Oasis Infobyte and My Social Fox, I developed machine learning models for iris classification, car price prediction, and unemployment analysis. I also createda sales price prediction system and an email spam detection system to improve communication security.

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Projects Completed

I have worked on a range of projects across various domains, including machine learning, NLP, deep learning, reinforcement learning, and hardware. These projects include a Multiple Disease Prediction Model that uses medical and lifestyle data to predict diseases like heart disease and diabetes, an Automated Question Generator using NLP to create multiple-choice questions from textual data, and an Image Denoising System using autoencoder neural networks to enhance image clarity. Other projects include a Reinforcement Learning-based Diabetes Management System, a PDF Document Search System with Generative AI, and an Air Traffic Control System built with Python and MySQL. In hardware, I developed an Arduino Rover with voice-guided exploration, Bluetooth control, and obstacle avoidance..

23k +
Lines of Code

I have written 23K+ lines of code across various projects, encompassing machine learning,NLP, deep learning, reinforcement learning, and hardware development. This extensive hands-on experience reflects my dedication to creating efficient, innovative, and impactfulsolutions.

08 +
Positive Feedback

"I have received 8+ positive feedback from mentors, colleagues, and clients, recognizing my technical expertise, problem-solving abilities, and commitment to delivering high-quality results. These feedback highlight my proficiency in building efficient AI models, my collaborative approach in team projects, and my ability to consistently meet deadlines while maintaining attention to detail. My ability to adapt to new challenges and continuously improve has been praised, along with my innovative solutions to complex problems. These positive reviews reinforce my passion for technology and my drive to contribute meaningfully to every project I undertake.