I am a Pre-final at VIT-Bhopal, currently affliated with GDSC and DataScience Club, and passionate about Machine Learning and Neural Networks.

• 💻 Java
• 🐍 Python
• 🚀 C++
• 💻 C

• 🔥 TensorFlow
• ⚛️ Keras
• 🐘 PyTorch
• 🔑 Git

• EV CAFV Eligibility: [Classifying Ev's CAFV Eligibility.]

• NVIDIA Stocks: [Using RNN on Stock Close and Open for Regression.]

• Crop Yield: [Predicting crop yield based on mineral content.]

• House Price Prediction: [Predicting House Prices.]

• Microsoft Stocks: [Using RNN on Stock Close and Open for Regression.]

• Titanic Survived: [Classical disaster Titanic's Survived predictions.]

• Facial Keypoints Detection: [created a complete project on Facial Keypoints Detection using CNN and pre-trained models to predict facial keypoints.]

• Colour Detection using DL: [used CNN with Attention to achieve 94% accuracy as part of Model Enhancement.]

• Chocolate Classification using DL: [used CNN with Attention to achieve 96.96% accuracy as part of Model Enhancement.]

• Metabolic Syndrome Prediction: [Worked on the entire ML pipeline end-to-end for Metabolic Syndrome Prediction.]

• Speech Sentiment Analysis using DL: [created a complete project on Speech Sentiment Analysis using CNN and pre-trained models to classify Melspectrogram images.]

• Eye Disease Classification using DL: [created a complete project on Eye Disease Classification using CNN and pre-trained models to classify eye disease images.]

• Fracture Detection using DL: [created a complete project on Fracture Detection using CNN and pre-trained models to classify images of bones.]

• Tomato-Leaf Classification using DL: [created a complete project on Tomato-Leaf Classification using CNN and pre-trained models to classify images of diseased tomato leaves.]

• 📫 Email: [email protected]
• 💼 LinkedIn
• 🐦 Kaggle