A model that flags signs of depression from social media text with explainable predictions.
A BERT-BiLSTM ensemble classifies social media text for depression signals, supported by emotion-aware preprocessing and SMOTE balancing. LIME and SHAP clarify why each prediction was made, and a real-time dashboard displays live depression-risk output.
Depression is under-reported and often first visible in how someone writes online, long before they seek help. But an unexplained mental-health classifier is both clinically and ethically unusable.
Combine a transformer with a sequence model for accuracy, correct the severe class imbalance in mental-health datasets, and make every prediction interpretable before it is shown to anyone.
BERT-BiLSTM Ensemble Models
Deep learning-based text classification for depression signals.
Emotion-Aware Preprocessing & SMOTE Balancing
Improves signal quality and class balance.
Explainable AI (LIME & SHAP)
Clarifies why a prediction was made.
Real-Time Dashboard
Live depression-risk prediction display.
Deep Learning / NLP
Data
Explainability
Application
Text collection
Social media posts are gathered and cleaned.
Preprocessing
Emotion-aware features are extracted and classes balanced.
Classification
The BERT-BiLSTM ensemble scores depression risk.
Explanation
LIME and SHAP surface the driving terms.
Dashboard
Risk levels are displayed live for review.
Every project is quoted individually, because the price depends on the modules you need, your technology stack, your college's format and your deadline. Send us the project name on WhatsApp and we'll share a quote the same day.
Yes. Share your guide's requirements, preferred technology stack and abstract format, and we adapt the modules, dataset or UI accordingly.
That is the point of the explanation session. We walk you through the architecture, every module, the flow of data and the results, and hand over a viva question bank with answers.
We help you with setup end to end — dependencies, environment, database and configuration — over chat or a call until it runs on your machine.
Yes. Post-delivery support is included, so you can come back for fixes, doubts or demo help even after the project is delivered.
Get complete source code, documentation, PPT, explanation, and support.
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