AI/ML Enthusiast & Developer
Hello! I'm Kanisha Sharma, a passionate developer and lifelong learner with a strong interest in Artificial Intelligence and Machine Learning. I enjoy exploring new technologies, solving real-world problems through code, and continuously improving my skills.
AI & ML undergraduate at VIT Bhopal with strong Python and machine learning fundamentals. Improved open-source project efficiency by 20% through code reviews and contributions during GSSOC. Developed and tested Python solutions in a hands-on internship, applying supervised and unsupervised learning, feature engineering, and deep learning frameworks. Seeking to deliver production-grade code to optimize model performance and reliability as an ML engineering intern.
Developed an intelligent sustainability platform that recommends the greenest cloud regions for your deployments powered by real-time carbon intensity data.
Developed and deployed an AI-driven youth mental wellness platform using various APIs; with modules for journaling, mood tracking, community support, and a single-player game, aimed at promoting emotional well-being.
Developed a high-accuracy Machine Learning-based Crop Recommendation System using environmental and soil parameters, achieving 99.31% accuracy with Random Forest Classifier.
Developed a high-accuracy Machine Learning-based Crop Yield Prediction Model using historical agricultural and environmental data, achieving 93.50% R² score with XGBoost Regressor.
Developed an AgriTech platform leveraging Machine Learning models for Crop Recommendation and Yield Prediction using soil, weather, and environmental data, enabling farmers to make data-driven agricultural decisions through an interactive and user-friendly interface.
Developed MoneyVest, a finance platform powered by Machine Learning models for predicting financial trends and expense analysis. Implemented Flask backend with Python for ML integration, and designed a responsive HTML, CSS, and JavaScript frontend for seamless user interaction and data visualization.
Developed a FinTech platform with responsive and user-friendly frontend using HTML, CSS, and JavaScript, enabling seamless financial data tracking, secure user registration, and login functionality for enhanced user experience.
Built LearnSphere, a collaborative digital learning platform integrating AI-based peer matching, personalized recommendations, and gamification features to boost student engagement, knowledge sharing, and interactive learning.
Project Admin and Contributor | June 2025 – Present
Serving as a Project Admin and Contributor at GirlScript Summer of Code (GSSoC), leading project development and collaborating on open-source initiatives.
Artificial Intelligence and Data Analytics Intern | June 2025 – July 2025
Completed an Artificial Intelligence and Data Analytics internship focused on Green Skills at Edunet Foundation, organized by AICTE.
Machine Learning & AI Intern | June 2025 – July 2025
Completed a Machine Learning & AI internship at Tamizhan Skills, gained practical training and skill development through the RISE Internship Program.
Python Programming Intern | June 2025 – June 2025
Successfully completed a structured 1-month internship program focused on enhancing practical skills in Python programming through hands-on projects.
INNOVATEX 2025 - Hackathon & Ideathon | Mar 2025 – Apr 2025
Successfully led and organized a large-scale innovation event with over 200+ participants, managing end-to-end planning, promotions, logistics, and cross-team coordination.
Secured 2nd Runner-Up out of 500+ teams at HackLoop Hackathon 2025, demonstrating innovation, problem-solving, strong technical expertise and teamwork.
Selected as a finalist among numerous participants for developing an innovative AI/ML-based solution during the Neural Nexus Hackathon, showcasing strong problem-solving and teamwork under pressure.
Achieved finalist position by contributing to a high-impact tech project that demonstrated creativity, technical proficiency, and practical application of cloud-based solutions at the Vultr Hackathon.
Issued by NPTEL | May 2025
Issued by Udemy | Jan 2025
Issued by FreeCodeCamp | May 2024
Issued by FreeCodeCamp | Apr 2024
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