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1. Mental-Health-Analytics-using-NLP Mental-Health-Analytics-using-NLP Public

   This app streamlines mental health consultations between rural patients and urban therapists using NLP techniques (DistilBERT, Naive Bayes), MySQL DB and visualizations (Matplotlib, Seaborn) to ana…

   Python

2. Multi-AI-Agentic-RAG-Chatbot-with-AstraDB-and-LLMs Multi-AI-Agentic-RAG-Chatbot-with-AstraDB-and-LLMs Public

   Implemented Multi-Agent AI app using LangGraph, AstraDB, and LLMs, dynamically routing queries to a vector database (AstraDB) or Wikipedia search. It leverages Hugging Face embeddings, LangChain re…

   Jupyter Notebook

3. Context-Aware-Next-Word-Prediction-Using-LSTM-and-GRU-Networks Context-Aware-Next-Word-Prediction-Using-LSTM-and-GRU-Networks Public

   Leveraged deep learning techniques such as tokenization, sequence padding, and softmax-based word prediction to develop a Next Word Prediction model using LSTM and GRU networks, trained on Shakespe…

   Jupyter Notebook

4. Mid-Day-Meal-Analytics-using-Machine-Learning Mid-Day-Meal-Analytics-using-Machine-Learning Public

   Machine learning-based solution for monitoring world's largest school meal program: quality prediction, anomaly detection, and interactive Power BI dashboards integrated into Streamlit.

   Jupyter Notebook

5. FinSight-Financial-Research-Assistant-with-LangChain-and-OpenAI FinSight-Financial-Research-Assistant-with-LangChain-and-OpenAI Public

   By leveraging LangChain, OpenAI, and FAISS vector databases, this app processes financial articles and blogs, extracts relevant information, and answers complex queries efficiently.

   Python

6. SMart-Store-Sales-PowerBI-Dashboard- SMart-Store-Sales-PowerBI-Dashboard- Public

   Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forecasting, and interactive dashboard creation, driving business success.