I'm a Computer Science student at Maharaja Agrasen University (CGPA: 8.60) passionate about building end-to-end AI\ML applications — from data preprocessing to model deployment.

• 🎓 B.Tech in Computer Science & Engineering (2024–2028)
• 🤖 Focused on AI, Machine Learning, Deep Learning, and Natural Language Processing
• 🛠️ I build AI/ML apps and deploy using Streamlit
• 📊 Experienced in AI Tools, EDA, predictive modeling, and data preprocessing
• 📫 Reach me at: manasviantil17@gmail.com
• 🔗 Connect on LinkedIn

Languages

ML & Deep Learning

Data & Visualization

NLP & Deployment

LSTM-based deep learning model for context-aware next-word prediction

• Built with TensorFlow/Keras, applied tokenization, sequence padding & feature engineering
• Achieved 75% prediction accuracy on test sequences
• Deployed as an interactive Streamlit web app for real-time text prediction

ML-based system to predict stroke risk from patient health data

• Performed full EDA, feature engineering & hyperparameter tuning
• Compared multiple algorithms, achieved 87% accuracy
• Deployed with Streamlit for real-time clinical predictions

Text classification model to detect positive, negative, and neutral sentiment

• NLP preprocessing pipeline: tokenization, stop-word removal, stemming
• Implemented Naive Bayes & Logistic Regression, achieved 86% accuracy
• Live prediction UI built with Streamlit

Personalized movie recommendations using ML

• Implemented content-based filtering and collaborative filtering
• Focused on data preprocessing, model optimization & user preference matching

• 🏆 Microsoft Elevation Program — AI, ML & Microsoft Copilot (Feb 2026)
• 🏆 SmartEd Training & Internship Program — AI/ML with Python (Sep–Dec 2025)

⭐ If you find my projects useful, consider giving them a star!