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InsightAI-CSV-Visualisation-Tool
July 29, 2024 – July 29, 2024
InsightAI-CSV-Visualisation-Tool — GitHub repository
View ProjectVoice-Search-Enhancement-Using-LLMs
July 29, 2024 – July 29, 2024
Voice-Search-Enhancement-Using-LLMs — GitHub repository
View ProjectAutomated-Course-Development-AI
July 29, 2024 – July 29, 2024
Automated-Course-Development-AI — GitHub repository
View ProjectFinancial-Text-Sentiment-Analysis
July 29, 2024 – July 29, 2024
Financial-Text-Sentiment-Analysis — GitHub repository
View ProjectFingerprint-Matching-CNN
July 29, 2024 – July 29, 2024
Fingerprint-Matching-CNN — GitHub repository
View ProjectInsightAI-CSV-Visualisation-Tool
July 22, 2024 – November 12, 2025
InsightAI: A Streamlit application for automated graph analysis of CSV files using Generative AI models. Leverages PandasAI and Cohere's LLM to provide visual data representations and enhance data analysis workflows.
View ProjectVoice-Search-Enhancement-Using-LLMs
July 6, 2024 – November 12, 2025
This repository aims to leverage new Large Language Models (LLMs) and concepts to enhance voice search, especially on e-commerce platforms. The primary focus is on the ability to extract relevant results based on long, conversational audio queries.
View ProjectAutomated-Course-Development-AI
May 15, 2024 – November 11, 2025
Automatic Course Content Generator (ACCG) is an AI-powered Streamlit app for SMEs, content creators, and educators. Input Course Name, No. of Modules, and more to get a dynamic course outline, full course content, and quizzes. Download everything as PDFs and PPTs and customize as needed!
View ProjectFingerprint-Matching-CNN-SOCOFing
April 24, 2024 – July 29, 2024
CV fingerprint matching using CNN models for efficient image recognition. Testing and development with SOCOFing dataset from Kaggle. Continuously evolving for optimized results.
View ProjectSentiment-Analysis-FinBERT
April 24, 2024 – April 24, 2024
This repository features an NLP project using HuggingFaces's FinBERT model for sentiment analysis of financial text. Built with Python and Django, it categorizes financial information (in text format) into Positive, Neutral, or Negative sentiments, aiming for a user-friendly web app with precise sentiment insights.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal, research-oriented AI/ML projects. While this demonstrates initiative and a passion for technology, the projects are heavily skewed towards backend/data science rather than frontend development, which is the target role. This might indicate a potential mismatch in primary interest areas, though the presence of web technologies in some projects suggests some foundational alignment. The diversity of AI/ML applications (fingerprint matching, voice search, sentiment analysis, course generation) shows a broad technical curiosity.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects indicate a self-starter attitude and an interest in complex problem-solving, but there is no information on collaboration, communication, or work attitude.