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
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EV CAFV Eligibility: [Classifying Ev's CAFV Eligibility.]
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NVIDIA Stocks: [Using RNN on Stock Close and Open for Regression.]
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Crop Yield: [Predicting crop yield based on mineral content.]
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House Price Prediction: [Predicting House Prices.]
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Microsoft Stocks: [Using RNN on Stock Close and Open for Regression.]
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Titanic Survived: [Classical disaster Titanic's Survived predictions.]
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Facial Keypoints Detection: [created a complete project on Facial Keypoints Detection using CNN and pre-trained models to predict facial keypoints.]
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Colour Detection using DL: [used CNN with Attention to achieve 94% accuracy as part of Model Enhancement.]
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Chocolate Classification using DL: [used CNN with Attention to achieve 96.96% accuracy as part of Model Enhancement.]
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Metabolic Syndrome Prediction: [Worked on the entire ML pipeline end-to-end for Metabolic Syndrome Prediction.]
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Speech Sentiment Analysis using DL: [created a complete project on Speech Sentiment Analysis using CNN and pre-trained models to classify Melspectrogram images.]
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Eye Disease Classification using DL: [created a complete project on Eye Disease Classification using CNN and pre-trained models to classify eye disease images.]
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Fracture Detection using DL: [created a complete project on Fracture Detection using CNN and pre-trained models to classify images of bones.]
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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: arihant.bhandari.2004@gmail.com
- 🐦 Kaggle