Passionate and motivated AI enthusiast with a strong interest in Data Science,Machine Learning and Deep Learning. Committed to building a solid foundation through hands-on projects, continuous learning, and exploring real-world applications of AI to drive meaningful impact.
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"AniCare" — 'Animal' + 'Care', symbolizing an AI-powered system designed to detect animals and deliver timely remedy suggestions through an integrated chatbot.
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"GyanPath" — a fusion of 'Gyan' (knowledge) and 'Path' (pathway), symbolizing a RAG-based chatbot that serves as a guided pathway to the timeless wisdom of the Bhagavad Gita.
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"Cartoonify", representing an Autoencoder architecture,that showcases the application of deep learning in artistic image transformation, offering a creative intersection of computer vision and visual storytelling.
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Developed model using YOLO v8n and custom datasets to accurately identify ten animal classes for applications like wildlife conservation and livestock monitoring. The system was deployed on CCTV cameras with real-time alerts sent via SMS to relevant authorities, enhancing security and timely response.
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Analyzed district-wise climate data (1981–2019) for Nepal using data mining and machine learning techniques. Applied K-Means clustering to group districts by weather patterns, performed Linear Regression for rainfall prediction, and utilized GeoPandas for geospatial visualization of extreme weather regions.
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Automated system designed to extract vegetable price data from online sources using web scraping, followed by exploratory data analysis to reveal pricing trends and patterns. This project leverages Python’s BeautifulSoup library and visualization techniques to deliver valuable market insights for stakeholders.
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Gained hands-on experience in UI/UX design and learned to create intuitive and visually engaging designs.Grateful to the organizers for providing such an enriching learning experience and equipping us with practical skills in design tools.
Thrilled to have earned my Git and GitHub Certification, showcasing my proficiency in version control and collaborative coding practices!
Proud to have earned a Certification in Election Data Analysis, highlighting my skills in analyzing and interpreting election-related data to uncover trends, patterns, and actionable insights.
I had the privilege of volunteering at the “AI for Social Impact” workshop, jointly organized by Kathmandu University and the University Grants Commission of Nepal. The experience provided valuable insights into how artificial intelligence can bridge academia, industry, and government to foster meaningful societal advancements.
Facilitator at an AI workshop, supporting participants in understanding core AI concepts, machine learning models, and practical applications. Assisted with hands-on exercises, led discussions, and managed event logistics to ensure an effective and engaging learning experience.
I had the privilege of volunteering at AIMEET 2023, organized by the Kathmandu University Artificial Intelligence Club. The event was a valuable platform that brought together innovators, industry experts, and AI enthusiasts to explore emerging opportunities and advancements in artificial intelligence.
Built a voice-driven job search webapp using speech-to-text and text-to-speech APIs, a RAG-based system for contextual queries, and real-time web scraping for dynamic data updates. Key Learnings: Enhanced skills in rapid prototyping, teamwork, API integration, real-time data handling, and applying advanced NLP techniques under tight deadlines.
Presented a poster on music genre classification using Graph Attention Networks and Wav2Vec, gaining valuable experience in explaining advanced deep learning concepts and engaging with technical discussions during the seminar.
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