You will get AI-powered virtual interviews and recruitment campaign management.
Project details
This project provides a platform for creating recruitment campaigns and conducting virtual interviews using AI. It offers a user-friendly interface for managing campaigns and interviews, with comprehensive reporting and analytics to aid in hiring decisions.
Project Scope :
- Objective: Develop a platform where users can create recruitment campaigns and conduct virtual interviews using AI.
- Functionality: Enable customers to log in, set up recruitment campaigns, and manage candidate interviews.
- AI Integration: Use AI to conduct virtual interviews, evaluate candidates, and generate results.
- User Interface: Provide a user-friendly interface for campaign management and interview scheduling.
- Reporting: Deliver comprehensive results and analytics to assist in the hiring decision process.
Achievements :
- Interview Automation: 99% reduction in manual interview scheduling and conducting.
- Candidate Evaluation: 95% increase in evaluation accuracy through AI analysis.
- Campaign Creation Efficiency: 94% faster campaign setup and management.
- 85% improvement in operational efficiency with HR systems.
- 90% higher user satisfaction with the virtual interview experience.
Project Scope :
- Objective: Develop a platform where users can create recruitment campaigns and conduct virtual interviews using AI.
- Functionality: Enable customers to log in, set up recruitment campaigns, and manage candidate interviews.
- AI Integration: Use AI to conduct virtual interviews, evaluate candidates, and generate results.
- User Interface: Provide a user-friendly interface for campaign management and interview scheduling.
- Reporting: Deliver comprehensive results and analytics to assist in the hiring decision process.
Achievements :
- Interview Automation: 99% reduction in manual interview scheduling and conducting.
- Candidate Evaluation: 95% increase in evaluation accuracy through AI analysis.
- Campaign Creation Efficiency: 94% faster campaign setup and management.
- 85% improvement in operational efficiency with HR systems.
- 90% higher user satisfaction with the virtual interview experience.
AI Algorithms
Convolutional Neural Network, CycleGAN, Deep Belief Network, Generative Adversarial Network, Large Language Model, Recurrent Neural Network, StyleGAN, Transformer Model, YOLOAI Applications
AI-Enhanced Classification, Conversational AI, Image Analysis, Natural Language Generation, Sequence Modeling, Speech Synthesis, Synthetic Data GenerationAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, Copy.ai, Gradio, Hugging Face, Jasper AI, NVIDIA AI Platform, PyTorch, TensorFlowAI Models
BERT, GPT-3, LaMDA, LLaMA, Midjourney AI, Naive Bayes Classifier, OpenAI Codex, Stable DiffusionWhat's included
| Service Tiers |
Starter
$3,000
|
Standard
$5,000
|
Advanced
$7,000
|
|---|---|---|---|
| Delivery Time | 40 days | 50 days | 60 days |
Number of Revisions | 0 | 1 | 2 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | - | - | - |
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | |
Natural Language Processing | - | - | |
NLP Tokenization | - | - | |
Pre-Training | - | - | |
Prompt Engineering | - | - | - |
Setup File | - | ||
Source Code | - |
6 reviews
(6)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
AR
Alexandre R.
Nov 13, 2024
GPT - Python developer to help develop and evaluate NLP solutions
ML
Martin Alexander L.
Oct 18, 2024
Ai developer needed
Very good AI developer, helpful, and eager to make things right.
FD
Francois D.
Oct 11, 2024
URGENT - AI prompt expert - need help with a prompt
A very collaborative freelancer, he did 4 versions of prompt to get everything working properly.
ML
Martin Alexander L.
Aug 14, 2024
Expert on LLMs (ChatGPT API + Perplexity.ai API)
Chandan is very professional and working fast. Extensive experience in AI, ChatGPT, and API integration.
ML
Martin Alexander L.
Aug 14, 2024
AI developer needed
Good developer experienced in AI, LLMs, and APIs. easy to work with and fast execution.
About Chandan
AI/ML/LLM Architect | Deep Learning | Computer Vision | Generative AI
68%
Job Success
Noida, India - 11:47 am local time
🛠️ We are the group of Technology Enthusiastic Engineers. We provide all technology solutions to your business. We provide multiple type of skilled resources for every Time zone on immediate basis.
Areas of expertise:
=================================================================
🧠 AI Components: ML, DL, NLP, LLM, Neural Network, Machine Vision, Voice Recognition, Human Intelligence etc.
🤖 LLM Models: chatGPT, Bard/Gemini, PaLM, LLaMA 2, LLaMA 3, Falcon 180B, Bloom, Claude, Cohere, Mistral, t5-flan etc.
🧠 AI Type : Generative AI, Conversational AI, Cognitive AI.
🤖 AI ChatBot: AWS Lex, Google Dialogflow, RASA, IBM Watson Assistant etc.
📡 LLM Serving Framework: vLLM, openLLM, TGI, Triton, Ray Serve, MLC LLM, CTranslate2 etc.
📚 AI Libraries: TensorFlow, Keras, PyTorch, NLTK, Spacy, openCV, coreNLP, Textblob, Scipy, scikit-learn, matplotlib, scikit-image, COCO, YOLO, HRNet etc.
🔧 Frameworks: Langchain, Django, Flask, FastAPI, Spring Boot 2, Microservices, Hibernate etc.
🗄️ Databases: FAISS, Chroma, Pinecone, Milvus, Oracle, MySQL, MongoDB, Sybase, Neo4J, GraphDB etc.
☁️ Cloud Services: Amazon Web Services (AWS), Microsoft Azure, Google Cloud, Oracle Cloud.
🌐 Languages Language: Python, Java, GO, JavaScript, Typescript, ReactJS, AngularJS, Nodejs, JQuery, HTML, CSS.
=================================================================
Skills Summary:
=================================================================
• 12+ Years of experience in AI & ML/DL & NLP, LLM Development using various technologies.
• Experience in Cognitive AI, Generative AI, Conversational AI solution implementation.
• Expertise into AI algorithm implementation for supervised/Unsupervised/Re-enforcement Learning and other AI implementation etc.
• Expertise in ML, NLP, LLM, Deep Learning, Online/Incremental learning etc.
• Expertise in opensource LLM tuning and deployment, Model like LLaMA2, Mistral, Bloom, MPT, Gemma etc.
• Expertise in LLM model quantization and Hardware specification (GPU/VRAM/CPU/CORE) for fast LLM inference.
• Expertise in implementation of Large multimodal like Gemini etc. into application solution.
• Expertise in implementation of LLM models like Bert, chatGPT (OpenAI and other model), PaLM, Bard/Gemini AI, LLaMA, Falcon, Bloom, Claude, Cohere etc.
• Expertise in Transfer Learning by using Google Bert Model and another custom model.
• Expertise in ML pipeline and ML cluster on AWS/GCP/Azure.
• Expertise in Model hyper parameters tuning and Model Training.
• Expertise in Unsupervised Topic modeling like LDA, LSA, NMF etc.
• Expertise in Model Training based big data using GPU/TPU Support etc.
• Expertise in Ray cluster for running ML or Non-ML tasks on multiple nodes parallel.
• Experience in dimensionality reduction techniques using PCA and PLS technique.
• Proficiency into Detect patterns using PCA-SVM technique.
• Expertise in Artificial Intelligence Libraries and Modules like NLTK, Spacy, coreNLP, Textblob, Scipy, scikit-learn, Tensorflow, Keras, pytorch, gensim, SymPy, nose, pypiwin32, scikit-image, COCO, YOLO, HRNet etc.
• Expertise in Python Libraries and Modules like matplotlib, numpy, pandas, openpyxl, docx, pptx, csv, linecache, pyautogui, pyhook, pywinauto, scipy, html5lib, py-translate, sys, os etc.
• Proficiency in latest Python and Django and Flask framework.
• Strong database skill using FAISS, Chroma, Pinecone, Milvus, Oracle, MySQL, Mongo DB, Sybase, Neo4J etc.
• Proficiency in Python 2/3 and its Implementation like Jython, Cython etc.
• Expertise in Core Java, J2SE (Swing, AWT, Event), J2EE (Servlet, JSP, JSTL), Struts, Spring, Hibernate, JDBC Technology.
• Expertise in latest Spring Boot framework and Microservices.
• Expertise in AWS Platform like EC2, RDS, VPC, S3, Outposts, ELB, Sagemaker, Security Groups, Lambda Function etc.
• Expertise in Ontology & Semantic Web Data Storage and RDF/OWL mapping.
• Expertise in schema and design semantic data model on OWL, Triples, RDF etc.
• Expertise in Apache Jena Fusuki Server and GraphDB and protege etc.
• Proficiency in latest PySpark framework
• Proficiency in latest Spark and Dask.
• Expertise in Restful and Soap Web Services.
• Expertise in writing the any application architecture from scratch.
• Expertise in code review and code sanitization & code refactoring and testing/debugging etc.
• Expertise in object-oriented programming (oops) and design pattern and design principal implementation.
• Expertise in core and framework level programing for best solution.
• Good knowledge of code optimization, reducing code redundancies and writing clear & loosely coupled code & logic.
• Expertise in writing stories and their points into any sprint and applying agile methodology implementation.
• Have experience in technical team lead and Individual technical contributor as well.
Steps for completing your project
After purchasing the project, send requirements so Chandan can start the project.
Delivery time starts when Chandan receives requirements from you.
Chandan works on your project following the steps below.
Revisions may occur after the delivery date.
Campaign Setup
Help the client set up recruitment campaigns and define candidate criteria.
AI Interview Integration:
Implement AI-driven interviews for candidate evaluation and feedback generation.