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mani787060/README.md

🧭 About Me

I'm a B.Tech CSE (AI & Data Science) student at IIIT Senapati, Manipur (Class of 2027), currently a Research Intern at IIT Roorkee, designing deep learning architectures for multimodal emotion and personality recognition from physiological signals (EEG · ECG · GSR).

I focus on taking ML from research notebook → production system — not just training models, but shipping things people can actually use.

Right now:

  • 🧬 Building a TabTransformer + ResNet hybrid on the ASCERTAIN dataset — outperforming the published SVM / Naive Bayes baselines
  • 🚀 Shipped end-to-end ML apps across CV, NLP, and healthcare diagnostics
  • 📚 Going deep on Transformers, GANs & Diffusion Models
  • 💼 Open to internships, research collabs & full-time AI/ML roles
 
name: Mani Ratan
role: AI/ML Engineer
focus: Deep Learning · Multimodal AI
education: B.Tech CSE (AI & DS)
institute: IIIT Senapati, Manipur
current: Research Intern @ IIT Roorkee
status: Open to opportunities 🟢

🛠️ Tech Stack




  







  






📈 Activity Overview

Recent focus areas:

🧬 Multimodal deep learning research (ASCERTAIN) 🤖 End-to-end ML app deployment 📊 Data pipelines & analytics dashboards 🩺 Healthcare diagnostic models 🔍 NLP & information extraction systems


Currently contributing to: mani787060/mani787060 · mani787060/primetrade-assignment and other active repositories

 
pie showData
    "Deep Learning" : 35
    "Data Science" : 25
    "NLP / GenAI" : 20
    "Web / Deployment" : 12
    "Research Writing" : 8
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🐍 Contribution Snake


🚀 Featured Work

Project What it does
🧬 Emotion & Personality Recognition
ASCERTAIN Dataset		 TabTransformer + ResNet hybrid with modality-specific branches (EEG, ECG, GSR, EMO) — beats published baseline F1
👁️ VisionChat-App Multimodal CV + NLP engine: image captioning, visual question answering, text-to-speech
📄 AI-Resume-Analyzer NLP pipeline (spaCy/NLTK) extracting candidate metrics with interactive analytics dashboards
🩺 Thyroid-AI-Diagnostic CatBoost-ANN hybrid ensemble for high-precision thyroid disorder diagnosis
💳 Credit Card Fraud Detection Streamlit app for real-time fraud detection using a trained ML model
❤️ Heart Disease Predictor Streamlit app predicting heart disease risk from patient data

📊 GitHub Stats



📫 Let's Connect



Open to AI/ML internships, research collaborations & full-time roles

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  1. VisionChat-App VisionChat-App Public

    A high-precision Multimodal AI Engine integrating Computer Vision and NLP. Featuring automated image captioning, Visual Question Answering (VQA), and Text-to-Speech feedback with a perfect UI.

    Python 1

  2. AI-Resume-Analyzer AI-Resume-Analyzer Public

    Next-gen AI Resume Parsing pipeline using Python, spaCy, and NLTK. Dynamically extracts candidate profile metrics from PDFs, generates interactive analytics charts via Plotly, and records live tran…

    Python 1

  3. Thyroid-AI-Diagnostic Thyroid-AI-Diagnostic Public

    A high-precision Thyroid Diagnostic Engine leveraging a CatBoost-ANN Hybrid Ensemble.

    Python 1

  4. credit-card-fraud-detection-app credit-card-fraud-detection-app Public

    Streamlit web app for credit card fraud detection using a trained ML model.

    Python 1

  5. heart-disease-predictor-app heart-disease-predictor-app Public

    Streamlit web app for predicting heart disease using a trained machine learning model

    Python 1

  6. Customer-Segmentation-KMeans Customer-Segmentation-KMeans Public

    Customer Segmentation using K-Means Clustering — grouping customers based on purchasing patterns to help businesses target the right audience.

    Jupyter Notebook 1