👋 Hi, I’m Shivansh Dhyani — a Computer Science (AI & ML) undergrad passionate about building AI-powered products and real-time applications.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI-Data-Analytics-Dashboard
January 26, 2026 – Present
AI-Data-Analytics-Dashboard — GitHub repository
View ProjectResume-Building-Bot
September 10, 2025 – September 11, 2025
It is a Flask-based AI chatbot app that builds resumes automatically with professional templates and exports them as PDFs.
View ProjectAI-Resume-Builder
September 9, 2025 – September 9, 2025
AI-Resume-Builder — GitHub repository
View ProjectAI-Meeting-Summarizer
August 23, 2025 – August 26, 2025
AI-Meeting-Summarizer — GitHub repository
View ProjectAI-Resume-Screener
August 21, 2025 – August 21, 2025
Built a Streamlit app that parses and ranks resumes against job descriptions using skills matching and semantic similarity, enabling fast, automated candidate shortlisting.
View ProjectAudio-to-Text-Transcription-model
August 18, 2025 – August 18, 2025
Audio-to-Text-Transcription-model — GitHub repository
View ProjectFacial-Attendance-Marking
August 17, 2025 – August 17, 2025
Facial-Attendance-Marking — GitHub repository
View ProjectYoutube-video-Summarizer
August 8, 2025 – September 11, 2025
A Flask-powered YouTube summarization tool that converts video speech to text using Whisper and then creates AI-powered summaries with Groq API. Fast, accurate, and beautifully designed with a modern Bootstrap interface.
View ProjectAI-docs-assistant
July 28, 2025 – July 29, 2025
This project demonstrates a complete Retrieval-Augmented Generation (RAG) pipeline built using LangChain, Groq’s ultra-fast LLaMA3-8B, and HuggingFace sentence-transformers to enable smart question-answering over your own PDF files. The architecture follows the Model Context Protocol (MCP), ensuring modular separation between the data ingestion, e
View ProjectAI-Call-Centre-Analytics
July 16, 2025 – July 16, 2025
AI‐Call‐Centre‐Analytics is a comprehensive solution designed to ingest real interactive call transcripts (text/audio), process them with AI/NLP models, and generate actionable insights like sentiment detection, intent classification, and summary reports for customer support operations.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on AI/ML and Python, which deviates significantly from the 'Frontend Developer' target role. While there's some exposure to frontend technologies (HTML, CSS, JavaScript, Svelte), the depth and breadth required for a dedicated frontend role are not evident. This indicates a potential mismatch with a pure frontend development culture, suggesting a stronger fit for roles with an AI/ML or full-stack focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an interest in AI/ML and full-stack development, but no direct evidence of collaboration, problem-solving, or communication in a team setting is available.