Freelancers using Python in DelhiFreelancers using Python in Delhi
ProjectsPeople
Trashu Vashisth's avatar
Trashu Vashisth
Delhi, India
Building Production-Grade AI Agents & RAG Systems
8
Followers
Building Production-Grade AI Agents & RAG Systems
Cover image for Developed a production-grade Retrieval-Augmented Generation
Developed a production-grade Retrieval-Augmented Generation (RAG) system specifically designed to automate the analysis of complex Environmental, Social, and Governance (ESG) reports. This tool bridges the gap between static LLMs and the dynamic, data-heavy requirements of legal and sustainability compliance. [1 (https://www.youtube.com/watch?v=wkYPcMtwlN8)] Key Features & Capabilities Intelligent Document Processing: Automatically handles large, unstructured PDF/Word ESG reports, extracting critical clauses and metrics in seconds. Fact-Grounded Q&A: Uses a RAG architecture to ensure all answers are strictly based on the uploaded documents, virtually eliminating AI hallucinations. Compliance Mapping: Cross-references internal company data with global frameworks like CSRD, GRI, and TCFD to identify gaps or inconsistencies. Audit-Ready Traceability: Every insight generated includes direct citations and excerpts from the source files, providing a clear "paper trail" for legal teams. Automated Drafting: Capability to draft legal summaries, notices, or internal policy updates based on analyzed ESG risks Note: The 'Slaughter and May' branding in the sidebar is for UI/UX demonstration purposes only, showcasing how the tool integrates into a top-tier law firm's environment. #AI #RAG #LegalTech #ESG #Python #LangChain
1
37
Cover image for Developed a full-stack RAG-based E- Commerce
Developed a full-stack RAG-based E- Commerce AI chatbot using React.js and Tailwind CSS that suggests the perfect laptop from a live catalog. Integrated ChromaDB with BGE Embedding models to provide highly accurate, context-aware product recommendations and instant technical support." Key Highlights: Smart Laptop Recommendations: Uses Semantic Search to match user needs (gaming, coding, etc.) with real-time specs. Advanced Tech Stack: Powered by LangChain for orchestration and BGE models for superior data retrieval. Modern UI/UX: Built a responsive, clean interface using React.js and Tailwind CSS. Zero Hallucination: Ensures all suggestions are strictly grounded in the available product inventory.
2
1
147
Cover image for Developed a high-precision Resume Parser using a
Developed a high-precision Resume Parser using a custom-trained RoBERTa model, specifically fine-tuned for Named Entity Recognition (NER) tasks. This tool automates the extraction of critical information from unstructured resumes with deep learning accuracy. Key Features: NER-Based Extraction: Accurately identifies entities like Name, Experience, Skills, Education, and Contact Info. RoBERTa Architecture: Leverages Transformer-based embeddings for superior contextual understanding compared to traditional parsers. JSON Output: Seamlessly converts complex resume layouts into structured JSON format for easy database integration and ATS (Applicant Tracking System) workflows. High Accuracy: Trained to handle diverse formatting and professional jargon.
3
190
Cover image for Built an intelligent RAG-based chatbot
Built an intelligent RAG-based chatbot designed to simplify complex financial analysis. In the project demo, the AI deep-dives into Apple’s annual reports, extracting key fiscal metrics and providing real-time insights through natural language queries. It transforms dense financial filings into actionable data using advanced document retrieval
2
3
256
Python(5)
Chhavi Verma's avatar
Chhavi Verma
Delhi, India
Data Science and Visualization Expert
1x
Hired
5.0
Rating
9
Followers
Data Science and Visualization Expert
Cover image for Hi Contra community! Just wrapped a
Hi Contra community! Just wrapped a rewarding project for Nauvyashree—delivered deep-dive EDA, custom visualizations, and rich survey sentiment analysis across four datasets. Each milestone included well-designed PDFs packed with clear charts and approachable explanations—making insights accessible for all audiences. I went the extra mile with collaborative Google Meet sessions to walk the client through every analysis, helping connect the findings to big-picture goals. Feedback was fantastic, and milestone-based payments made the process smooth and transparent. This project really strengthened my ability to turn complex results into stories that empower client decision-making. If you want visually engaging, client-focused analytics—or need easy-to-follow reports and hands-on walkthroughs for your next project—let’s connect!
1
51
Cover image for Books Data Analysis
Books Data Analysis
1
6
Cover image for Books Data Analysis
Books Data Analysis
1
10
Cover image for Red Wine Analysis
Red Wine Analysis
1
9
Python(5)
Manjeet Hooda's avatar
Manjeet Hooda
Delhi, India
Turning complex data into clear, actionable insights.
Turning complex data into clear, actionable insights.
Cover image for Sales Performance Analysis and Prediction
Sales Performance Analysis and Prediction
0
2
Cover image for Customer Churn Analysis and Prediction
Customer Churn Analysis and Prediction
0
2
Cover image for Shipment Price Prediction
Shipment Price Prediction
1
0
Placeholder project card media
View more →
Python(3)
AKASH VASHISHTHA's avatar
AKASH VASHISHTHA
pro
Delhi, India
Versatile Fullstack Engineer | Web & Mobile Expert
$50k+
Earned
5x
Hired
5.0
Rating
80
Followers
TOP_INDEPENDENT

Top

Versatile Fullstack Engineer | Web & Mobile Expert
Cover image for Podly.ai - Podcast Transcription Platform
Podly.ai - Podcast Transcription Platform
2
149
Cover image for Realm - Social Media Platform for Music Producers and Artists
Realm - Social Media Platform for Music Producers and Artists
1
101
Cover image for AI Platform Stabilization and Enhancement for Kaie
AI Platform Stabilization and Enhancement for Kaie
3
86
Cover image for TestBest | LSAT® Prep & Tutoring
TestBest | LSAT® Prep & Tutoring
2
124
Python(1)
ANIMESH SINGH's avatar
ANIMESH SINGH
Delhi, India
Data & AI Engineer
Data & AI Engineer
Cover image for Problem: Many organizations still process invoices
Problem: Many organizations still process invoices manually by reading PDF documents and entering key details (invoice number, vendor, amount, etc.) into systems. This process is slow, error-prone, and difficult to scale, and it also makes it harder to detect duplicate invoices or incorrect totals. Solution: This project builds an automated invoice processing pipeline that converts uploaded invoice PDFs into structured data. It uses OCR to extract text, LLMs to identify invoice fields, validation checks to ensure correctness, and Kafka-based event streaming to manage the processing pipeline. The extracted data is stored in PostgreSQL and visualized through a dashboard, enabling faster, scalable, and more reliable invoice processing.
3
3
122
Cover image for Problem Statement Urban traffic management systems
Problem Statement Urban traffic management systems lack real-time, integrated data combining traffic conditions with weather patterns. This results in poor routing decisions, delayed emergency responses, and inefficient traffic flow management. Solution Developed a comprehensive real-time ETL pipeline that integrates traffic APIs and weather data sources, processes millions of data points, and delivers actionable insights through interactive dashboards for traffic management and route optimization.
0
25
Cover image for A fully local RAG pipeline
A fully local RAG pipeline that transforms your PDFs into a queryable knowledge base using FAISS vector search and Ollama LLMs. No cloud, no API keys - just private, grounded document intelligence running entirely on your machine.
0
29
Cover image for A fully Dockerized real-time IoT
A fully Dockerized real-time IoT ETL pipeline that simulates device telemetry, processes events through MQTT and Kafka, orchestrates workflows with Airflow, and delivers real-time alerts and insights to CRM systems with monitoring via Grafana and Loki.
0
46
Python(4)