Hi/Hello/Welcome
My name is Bhaskar Lal Das
I am a Full Stack Developer and Data Scientist

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BHASKAR LAL DAS

I am a detail-oriented, disciplined and fast learner constantly seeking to expand my technical expertise. Motivated, focused, and adept at problem-solving, eagerly embracing new challenges while continuously pursuing personal and professional growth.

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Efficacy of LLM in Predicting Hindi Movies' Attributes: A Comprehensive Survey and Content-Based Analysis

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Sony+IITP Recommendation Model

Developed Full Stack website utilizing LLM for automated Resume building, placements notification and guidance for Institute, on NEXT-JS Framework on Firebase Database.

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NITAP TnP Cell Website with LLM

Seamless natural language querying of real-time HR data on an Oracle Server, using Gemini API, integrated the system on web interface.

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NLU-Driven Real-Time HR Data Query System

'Visual FusionBot': Integrating computer vision, NLP, and Generative AI for human-like therapeutic conversations(23icbai642). Authored and presented conference paper at 10th International Conference on Business Analytics and Intelligence, 2023.

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Multimodal Conversational AI with Emotional Intelligence

Utilized VGG16 as a Computer Vision model for feature extraction from images, integrating it with an LSTM network for generating captions. Achieved BLEU-1 Score: 0.527 and BLEU-2 Score: 0.301.

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Predictive Caption Generation with CNN-LSTM Neural Network

Developed Full Stack large scale Finance Department website from scratch for security with backend on Django Framework SQLite Database.

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NITAP Finance Department Website

Designed novel 16-bit Hexadecimal IC Lock System on Industry suite Cadence.

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VLSI Design Engineering

Python-based Automation for Verilog Code Generation from VHDL.

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Automated Verilog Code Generation

Developed Web-Scraping module and ML models on Time Series, compared performances and derived insights.

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Stock Performance Analysis and Forecasting