Sneha Sharma

Results-driven and motivated Computer Science student with a strong foundation in programming, algorithms, and software development. Proven ability to deliver high-quality work, meet deadlines, and contribute effectively to team-based projects. Demonstrates excellent communication and collaboration skills, fostering a productive and innovative work environment. Equipped with hands-on experience in research, technical problem-solving, and a commitment to continuous learning and growth. Highly detail-oriented with a quick adaptability to new tools, technologies, and challenges. Eager to leverage academic knowledge and technical skills in a dynamic internship role to contribute to impactful projects and gain practical industry experience.

• Developed a website for a Polyhouse Farming System to optimize agricultural management through real-time monitoring and automation. The project focused on collecting and analyzing environmental data, enabling farmers to make data-driven decisions for improved crop yield and resource efficiency.
• Working on a Personalized Meal Recommendation System aimed at providing tailored meal suggestions based on user preferences, dietary requirements, and nutritional goals. The project involves data analysis, machine learning algorithms, and user-centric design to enhance the overall meal planning experience.

• Review Paper Published: https://lnkd.in/gmzjXY_M
• Core Member, Mind Optimizer College Club
• Member of the Editorial Team; published two newsletters

• An Integrated IoT-Based Polyhouse Farming System for Optimized Agricultural Management
  Patent Number: 202311086258
  Issued: January 19, 2024
  Description: Designed and developed an innovative system to improve agricultural efficiency and sustainability. The system integrates advanced technology to monitor environmental conditions, automate processes, and provide actionable insights, resulting in optimized resource usage and enhanced crop yield.