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Nikita Kumari

Student at Jagannath University,delhi

Delhi

2+ years of work experience

CodSoft
Aug 20241 yr 11 mosPresent

India

During my internship, I worked on several AI/ML projects, including developing a simple chatbot, a recommendation system, and an AI for playing Tic-Tac-Toe. For the chatbot, I implemented Natural Language Processing techniques to understand and respond to user queries, creating a functional rule-based and intent-driven system. In the recommendation system, I applied collaborative filtering and content-based algorithms to suggest products based on user preferences, enhancing the personalization aspect. The Tic-Tac-Toe project involved building an AI agent using the minimax algorithm, which could play optimally and never lose. These projects helped me apply theoretical AI/ML concepts to real-world problems, improving my skills in data preprocessing, algorithm design, model evaluation, and performance tuning. I also developed a deeper understanding of AI techniques like NLP, collaborative filtering, and game theory. Additionally, the experience improved my problem-solving abilities, teamwork, and communication skills, allowing me to articulate complex AI concepts more effectively. Overall, the internship was a highly enriching experience that enhanced both my technical and interpersonal capabilities in the field of AI/ML.

Education

Institute of Information Technology & Management

Master of Computer Applications, Information Technology

Institute of Information Technology & Management

20252 yrs2027

Jagannath University,delhi

20223 yrs2025

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Headline

Student at Jagannath University,delhi

Location

Delhi

Work experience

Intern at CodSoft, Aug 2024 - Present · 1 yr 11 mos, India, During my internship, I worked on several AI/ML projects, including developing a simple chatbot, a recommendation system, and an AI for playing Tic-Tac-Toe. For the chatbot, I implemented Natural Language Processing techniques to understand and respond to user queries, creating a functional rule-based and intent-driven system. In the recommendation system, I applied collaborative filtering and content-based algorithms to suggest products based on user preferences, enhancing the personalization aspect. The Tic-Tac-Toe project involved building an AI agent using the minimax algorithm, which could play optimally and never lose. These projects helped me apply theoretical AI/ML concepts to real-world problems, improving my skills in data preprocessing, algorithm design, model evaluation, and performance tuning. I also developed a deeper understanding of AI techniques like NLP, collaborative filtering, and game theory. Additionally, the experience improved my problem-solving abilities, teamwork, and communication skills, allowing me to articulate complex AI concepts more effectively. Overall, the internship was a highly enriching experience that enhanced both my technical and interpersonal capabilities in the field of AI/ML.

Education

Master of Computer Applications, Information Technology, Institute of Information Technology & Management

Jagannath University,delhi

Nikita Kumari - Intern in Delhi | Tal