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AI & Machine Learning Intern at Edunet Foundation
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Competencies
Proficient in Python for developing AI models, data analysis, and automation tasks.
Skilled in designing, training, and deploying machine learning models using frameworks like TensorFlow and scikit-learn.
Experienced in building NLP applications such as speech recognition, text summarization, and language modeling.
Capable of creating insightful data visualizations using Plotly and Tableau to communicate complex data effectively.
Effective in working within multidisciplinary teams to develop innovative AI solutions and meet project goals.
Education
Summary
Motivated M.Tech student with internship experience in AI app development, specializing in NLP and data-driven solutions. Adept at deploying AI models and collaborating on innovative projects.
Key Achievements
- Developed and deployed an AI web app utilizing OpenAI Whisper for lecture audio transcription, summarization, and flashcard creation.
- Implemented end-to-end NLP solutions, enhancing accessibility and learning efficiency for educational content.
- Contributed to open-source AI projects and showcased skills on Hugging Face Spaces, gaining recognition in the AI community.
Experience
AI & Machine Learning Intern
Built and deployed an AI web app (AI Study Buddy) using OpenAI Whisper to convert lecture audio into transcripts, summaries, and flashcards (live on Hugging Face Spaces). Designed the end-to-end NLP pipeline and delivered the product in an agile, cross-functional team setting within a 2-month timeline